Información del autor
Autor Nagraj Balakrishnan |
Documentos disponibles escritos por este autor (9)



Advances in Degradation Modeling / SpringerLink (Online service) ; Mikhail S. Nikulin ; Nikolaos Limnios ; Nagraj Balakrishnan ; Waltraud Kahle ; Catherine Huber-Carol (2010)
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Título : Advances in Degradation Modeling : Applications to Reliability, Survival Analysis, and Finance Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Mikhail S. Nikulin ; Nikolaos Limnios ; Nagraj Balakrishnan ; Waltraud Kahle ; Catherine Huber-Carol Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2010 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XXXVIII, 416 p. 98 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4924-1 Idioma : Inglés (eng) Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Life Sciences, Medicine, Health Sciences Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: This volume—dedicated to William Q. Meeker on the occasion of his sixtieth birthday—is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance. Specific topics covered include: * Accelerated testing and inference * Step-stress testing and inference * Nonparametric inference * Model validity in accelerated testing * The point process approach * Bootstrap methods in degradation analysis * Exact inferential methods in reliability * Dynamic perturbed systems * Degradation models in statistics Advances in Degradation Modeling is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance Nota de contenido: Review, Tutorials, and Perspective -- Trends in the Statistical Assessment of Reliability -- Degradation Processes: An Overview -- Defect Initiation, Growth, and Failure – A General Statistical Model and Data Analyses -- Properties of Lifetime Estimators Based on Warranty Data Consisting only of Failures -- Shock Models -- Shock Models -- Parametric Shock Models -- Poisson Approximation of Processes with Locally Independent Increments and Semi-Markov Switching – Toward Application in Reliability -- On Some Shock Models of Degradation -- Degradation Models -- The Wiener Process as a Degradation Model: Modeling and Parameter Estimation -- On the General Degradation Path Model: Review and Simulation -- A Closer Look at Degradation Models: Classical and Bayesian Approaches -- Optimal Prophylaxis Policy Under Non-monotone Degradation -- Deterioration Processes With Increasing Thresholds -- Failure Time Models Based on Degradation Processes -- Degradation and Fuzzy Information -- A New Perspective on Damage Accumulation, Marker Processes, and Weibull’s Distribution -- Reliability Estimation and ALT -- Reliability Estimation of Mechanical Components Using Accelerated Life Testing Models -- Reliability Estimation from Failure-Degradation Data with Covariates -- Asymptotic Properties of Redundant Systems Reliability Estimators -- An Approach to System Reliability Demonstration Based on Accelerated Test Results on Components -- Survival Function Estimation -- Robust Versus Nonparametric Approaches and Survival Data Analysis -- Modelling Recurrent Events for Repairable Systems Under Worse Than Old Assumption -- Survival Models for Step-Stress Experiments With Lagged Effects -- Estimation of Density on Censored Data -- Competing Risk and Chaotic Systems -- Toward a Test for Departure of a Trajectory from a Neighborhood of a Chaotic System -- Probability Plotting with Independent Competing Risks En línea: http://dx.doi.org/10.1007/978-0-8176-4924-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33553 Advances in Degradation Modeling : Applications to Reliability, Survival Analysis, and Finance [documento electrónico] / SpringerLink (Online service) ; Mikhail S. Nikulin ; Nikolaos Limnios ; Nagraj Balakrishnan ; Waltraud Kahle ; Catherine Huber-Carol . - Boston, MA : Birkhäuser Boston, 2010 . - XXXVIII, 416 p. 98 illus : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4924-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Life Sciences, Medicine, Health Sciences Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: This volume—dedicated to William Q. Meeker on the occasion of his sixtieth birthday—is a collection of invited chapters covering recent advances in accelerated life testing and degradation models. The book covers a wide range of applications to areas such as reliability, quality control, the health sciences, economics, and finance. Specific topics covered include: * Accelerated testing and inference * Step-stress testing and inference * Nonparametric inference * Model validity in accelerated testing * The point process approach * Bootstrap methods in degradation analysis * Exact inferential methods in reliability * Dynamic perturbed systems * Degradation models in statistics Advances in Degradation Modeling is an excellent reference for researchers and practitioners in applied probability and statistics, industrial statistics, the health sciences, quality control, economics, and finance Nota de contenido: Review, Tutorials, and Perspective -- Trends in the Statistical Assessment of Reliability -- Degradation Processes: An Overview -- Defect Initiation, Growth, and Failure – A General Statistical Model and Data Analyses -- Properties of Lifetime Estimators Based on Warranty Data Consisting only of Failures -- Shock Models -- Shock Models -- Parametric Shock Models -- Poisson Approximation of Processes with Locally Independent Increments and Semi-Markov Switching – Toward Application in Reliability -- On Some Shock Models of Degradation -- Degradation Models -- The Wiener Process as a Degradation Model: Modeling and Parameter Estimation -- On the General Degradation Path Model: Review and Simulation -- A Closer Look at Degradation Models: Classical and Bayesian Approaches -- Optimal Prophylaxis Policy Under Non-monotone Degradation -- Deterioration Processes With Increasing Thresholds -- Failure Time Models Based on Degradation Processes -- Degradation and Fuzzy Information -- A New Perspective on Damage Accumulation, Marker Processes, and Weibull’s Distribution -- Reliability Estimation and ALT -- Reliability Estimation of Mechanical Components Using Accelerated Life Testing Models -- Reliability Estimation from Failure-Degradation Data with Covariates -- Asymptotic Properties of Redundant Systems Reliability Estimators -- An Approach to System Reliability Demonstration Based on Accelerated Test Results on Components -- Survival Function Estimation -- Robust Versus Nonparametric Approaches and Survival Data Analysis -- Modelling Recurrent Events for Repairable Systems Under Worse Than Old Assumption -- Survival Models for Step-Stress Experiments With Lagged Effects -- Estimation of Density on Censored Data -- Competing Risk and Chaotic Systems -- Toward a Test for Departure of a Trajectory from a Neighborhood of a Chaotic System -- Probability Plotting with Independent Competing Risks En línea: http://dx.doi.org/10.1007/978-0-8176-4924-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33553 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Advances in Distribution Theory, Order Statistics, and Inference / SpringerLink (Online service) ; Nagraj Balakrishnan ; José María Sarabia Alegría ; Enrique Castillo (2006)
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Título : Advances in Distribution Theory, Order Statistics, and Inference Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Nagraj Balakrishnan ; José María Sarabia Alegría ; Enrique Castillo Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2006 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: LVI, 484 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4487-1 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Applications of Clasificación: 51 Matemáticas Resumen: Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold’s significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution Theory, Order Statistics, and Inference," held at the University of Cantabria, Santander, Spain. Several distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized. The volume is classified into the following five parts, according to the focus of the articles: * Discrete distributions and applications * Continuous distributions and applications * Order statistics and applications * Reliability and applications * Inference This comprehensive reference work will serve the statistical and applied mathematics communities, as well as practitioners, researchers, and graduate students in applied probability and statistics, reliability engineering, and biostatistics Nota de contenido: Discrete Distributions and Applications -- Stochastic Comparisons of Bernoulli Sums and Binomial Random Variables -- Stopped Compound Poisson Process and Related Distributions -- Constructions of Discrete Bivariate Distributions -- Continuous Distributions and Applications -- The Normal-Laplace Distribution and Its Relatives -- Some Observations on a Simple Means of Generating Skew Distributions -- Bivariate Distributions Based on the Generalized Three-Parameter Beta Distribution -- A Kotz-Type Distribution for Multivariate Statistical Inference -- Range of Correlation Matrices for Dependent Random Variables with Given Marginal Distributions -- Multifractional Probabilistic Laws -- Order Statistics and Applications -- Topics in the History of Order Statistics -- Order Statistics from Independent Exponential Random Variables and the Sum of the Top Order Statistics -- Fisher Information and Tukey’s Linear Sensitivity Measure Based on Ordered Ranked Set Samples -- Information Measures for Pareto Distributions and Order Statistics -- Confidence Coefficients of Interpolated Nonparametric Sign Intervals for Medians Under No or Weak Shape Assumptions -- Small Sample Asymptotics for Higher-Order Spacings -- Best Bounds on Expectations of L-Statistics from Bounded Samples -- Reliability and Applications -- The Failure Rates of Mixtures -- Characterizations of the Relative Behavior of Two Systems via Properties of Their Signature Vectors -- Systems with Exchangeable Components and Gumbel Exponential Distribution -- Estimating the Mean of Exponential Distribution from Step-Stress Life Test Data -- Random Stress-Dependent Strength Models Through Bivariate Exponential Conditionals Distributions -- Inference -- Some New Methods for Local Sensitivity Analysis in Statistics -- t-Tests with Models Close to the Normal Distribution -- Computational Aspect of the Chi-Square Goodness-of-Fit Test Application -- An Objective Bayesian Procedure for Variable Selection in Regression -- On Bayesian and Decision-Theoretic Approaches to Statistical Prediction -- Phi-Divergence-Type Test for Positive Dependence Alternatives in 2*k Contingency Tables -- Dimension Reduction in Multivariate Time Series -- The Hat Problem and Some Variations En línea: http://dx.doi.org/10.1007/0-8176-4487-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34872 Advances in Distribution Theory, Order Statistics, and Inference [documento electrónico] / SpringerLink (Online service) ; Nagraj Balakrishnan ; José María Sarabia Alegría ; Enrique Castillo . - Boston, MA : Birkhäuser Boston, 2006 . - LVI, 484 p : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4487-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Applications of Clasificación: 51 Matemáticas Resumen: Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold’s significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution Theory, Order Statistics, and Inference," held at the University of Cantabria, Santander, Spain. Several distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized. The volume is classified into the following five parts, according to the focus of the articles: * Discrete distributions and applications * Continuous distributions and applications * Order statistics and applications * Reliability and applications * Inference This comprehensive reference work will serve the statistical and applied mathematics communities, as well as practitioners, researchers, and graduate students in applied probability and statistics, reliability engineering, and biostatistics Nota de contenido: Discrete Distributions and Applications -- Stochastic Comparisons of Bernoulli Sums and Binomial Random Variables -- Stopped Compound Poisson Process and Related Distributions -- Constructions of Discrete Bivariate Distributions -- Continuous Distributions and Applications -- The Normal-Laplace Distribution and Its Relatives -- Some Observations on a Simple Means of Generating Skew Distributions -- Bivariate Distributions Based on the Generalized Three-Parameter Beta Distribution -- A Kotz-Type Distribution for Multivariate Statistical Inference -- Range of Correlation Matrices for Dependent Random Variables with Given Marginal Distributions -- Multifractional Probabilistic Laws -- Order Statistics and Applications -- Topics in the History of Order Statistics -- Order Statistics from Independent Exponential Random Variables and the Sum of the Top Order Statistics -- Fisher Information and Tukey’s Linear Sensitivity Measure Based on Ordered Ranked Set Samples -- Information Measures for Pareto Distributions and Order Statistics -- Confidence Coefficients of Interpolated Nonparametric Sign Intervals for Medians Under No or Weak Shape Assumptions -- Small Sample Asymptotics for Higher-Order Spacings -- Best Bounds on Expectations of L-Statistics from Bounded Samples -- Reliability and Applications -- The Failure Rates of Mixtures -- Characterizations of the Relative Behavior of Two Systems via Properties of Their Signature Vectors -- Systems with Exchangeable Components and Gumbel Exponential Distribution -- Estimating the Mean of Exponential Distribution from Step-Stress Life Test Data -- Random Stress-Dependent Strength Models Through Bivariate Exponential Conditionals Distributions -- Inference -- Some New Methods for Local Sensitivity Analysis in Statistics -- t-Tests with Models Close to the Normal Distribution -- Computational Aspect of the Chi-Square Goodness-of-Fit Test Application -- An Objective Bayesian Procedure for Variable Selection in Regression -- On Bayesian and Decision-Theoretic Approaches to Statistical Prediction -- Phi-Divergence-Type Test for Positive Dependence Alternatives in 2*k Contingency Tables -- Dimension Reduction in Multivariate Time Series -- The Hat Problem and Some Variations En línea: http://dx.doi.org/10.1007/0-8176-4487-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34872 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Advances in Mathematical and Statistical Modeling / SpringerLink (Online service) ; Roberto Minguez ; José María Sarabia Alegría ; Nagraj Balakrishnan ; Barry C. Arnold (2008)
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Título : Advances in Mathematical and Statistical Modeling Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Roberto Minguez ; José María Sarabia Alegría ; Nagraj Balakrishnan ; Barry C. Arnold Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2008 Colección: Statistics for Industry and Technology Número de páginas: XXXIV, 368 p. 56 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4626-4 Idioma : Inglés (eng) Palabras clave: Mathematics Computer mathematics Mathematical models Probabilities Statistics Modeling and Industrial Probability Theory Stochastic Processes Statistical Methods for Business/Economics/Mathematical Finance/Insurance Engineering, Physics, Science, Chemistry Earth Sciences Computational Science Engineering Clasificación: 51 Matemáticas Resumen: Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications * Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Theory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work Nota de contenido: Distribution Theory and Applications -- Enrique Castillo#x02019;s Contributions to Conditional Specification -- The Polygonal Distribution -- Conditionally Specified Models: New Developments and Applications -- Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data -- Distance Based Association and Multi-Sample Tests for General Multivariate Data -- Probability and Statistics -- Empirical Bayes Assessment of the Hyperparameters in Bayesian -- Order Statistics and Analysis -- Negative Mixtures Order Statistics and Systems -- Models of Ordered Data and Products of Beta Random Variables -- Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig -- Engineering Modeling -- Non Gaussian State Estimation in Power Systems -- Statistics Applied to Wave Climate on a Beach Profile -- Extreme Value Theory -- On Some Dependence Measures for Multivariate Extreme Value Distributions -- Ratio of Maximum to the Sum for Testing Super Heavy Tails -- Tail Behaviour An Empirical Study -- An Example of Real#x02013;Life Data Where the Hill Estimator is Correct -- Business and Economics Applications -- Deriving Credibility Premiums Under Different Bayesian Methodology -- The Influence of Transport Links on Disaggregation and Regionalization Methods in Interregional Input-Output Models Between Metropolitan and Remote Areas -- Statistical Methods -- Jackknife Bias Correction of a Clock Offset Estimator -- Pretesting in Polytomous Logistic Regression Models Based on Phi-divergence Measures -- A Unified Approach to Model Selection, Discrimination, Goodness of Fit and Outliers in Time Series -- Generalized Linear Models Diagnostics for Binary Data using Divergence Measures -- Applied Mathematics -- Some Problems in Geometric Processing of Surfaces -- Generalized Inverse Computation Based on an Orthogonal Decomposition Methodology -- Single and Ensemble Fault Classifiers Based on Features Selected by Multi-Objective Genetic Algorithms -- Feasibility Conditions in Engineering Problems Involving a Parametric System of Linear Inequalities -- Forecasting Nonlinear Systems with Neural Networks via Anticipated Synchronization -- Discrete Distributions -- The Discrete Half-Normal Distribution -- Parameter Estimation for Certain q-Hypergeometric Distributions En línea: http://dx.doi.org/10.1007/978-0-8176-4626-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34269 Advances in Mathematical and Statistical Modeling [documento electrónico] / SpringerLink (Online service) ; Roberto Minguez ; José María Sarabia Alegría ; Nagraj Balakrishnan ; Barry C. Arnold . - Boston : Birkhäuser Boston, 2008 . - XXXIV, 368 p. 56 illus : online resource. - (Statistics for Industry and Technology) .
ISBN : 978-0-8176-4626-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer mathematics Mathematical models Probabilities Statistics Modeling and Industrial Probability Theory Stochastic Processes Statistical Methods for Business/Economics/Mathematical Finance/Insurance Engineering, Physics, Science, Chemistry Earth Sciences Computational Science Engineering Clasificación: 51 Matemáticas Resumen: Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications * Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Theory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work Nota de contenido: Distribution Theory and Applications -- Enrique Castillo#x02019;s Contributions to Conditional Specification -- The Polygonal Distribution -- Conditionally Specified Models: New Developments and Applications -- Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data -- Distance Based Association and Multi-Sample Tests for General Multivariate Data -- Probability and Statistics -- Empirical Bayes Assessment of the Hyperparameters in Bayesian -- Order Statistics and Analysis -- Negative Mixtures Order Statistics and Systems -- Models of Ordered Data and Products of Beta Random Variables -- Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig -- Engineering Modeling -- Non Gaussian State Estimation in Power Systems -- Statistics Applied to Wave Climate on a Beach Profile -- Extreme Value Theory -- On Some Dependence Measures for Multivariate Extreme Value Distributions -- Ratio of Maximum to the Sum for Testing Super Heavy Tails -- Tail Behaviour An Empirical Study -- An Example of Real#x02013;Life Data Where the Hill Estimator is Correct -- Business and Economics Applications -- Deriving Credibility Premiums Under Different Bayesian Methodology -- The Influence of Transport Links on Disaggregation and Regionalization Methods in Interregional Input-Output Models Between Metropolitan and Remote Areas -- Statistical Methods -- Jackknife Bias Correction of a Clock Offset Estimator -- Pretesting in Polytomous Logistic Regression Models Based on Phi-divergence Measures -- A Unified Approach to Model Selection, Discrimination, Goodness of Fit and Outliers in Time Series -- Generalized Linear Models Diagnostics for Binary Data using Divergence Measures -- Applied Mathematics -- Some Problems in Geometric Processing of Surfaces -- Generalized Inverse Computation Based on an Orthogonal Decomposition Methodology -- Single and Ensemble Fault Classifiers Based on Features Selected by Multi-Objective Genetic Algorithms -- Feasibility Conditions in Engineering Problems Involving a Parametric System of Linear Inequalities -- Forecasting Nonlinear Systems with Neural Networks via Anticipated Synchronization -- Discrete Distributions -- The Discrete Half-Normal Distribution -- Parameter Estimation for Certain q-Hypergeometric Distributions En línea: http://dx.doi.org/10.1007/978-0-8176-4626-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34269 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Advances in Ranking and Selection, Multiple Comparisons, and Reliability / SpringerLink (Online service) ; Nagraj Balakrishnan ; H. N. Nagaraja ; N. Kannan (2005)
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Título : Advances in Ranking and Selection, Multiple Comparisons, and Reliability : Methodology and Applications Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Nagraj Balakrishnan ; H. N. Nagaraja ; N. Kannan Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2005 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XLIV, 412 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4422-2 Idioma : Inglés (eng) Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Life Sciences, Medicine, Health Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these fields and form a tribute to Panchapakesan’s influence and impact on these areas. Thematically organized, the chapters cover a broad range of topics from: * Inference * Ranking and Selection * Multiple Comparisons and Tests * Agreement Assessment * Reliability * Biostatistics Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities Nota de contenido: Inference -- Score Test: Historical Review and Recent Developments -- EM Algorithm and Optimal Censoring Schemes for Progressively Type-II Censored Bivariate Normal Data -- Inference Guided Data Exploration -- Discriminating Between Normal and Laplace Distributions -- A Simple Classification Rule for Directional Data -- Ranking and Selection -- On Some Ranking and Selection Procedures for MANOVA Models with Applications -- A Restricted Subset Selection Rule for Selecting At Least One of the t Best Normal Populations in Terms of Their Means: Common Known Variance Case -- Selecting the Best Population with Two Controls: An Empirical Bayes Approach -- Simultaneous Selection of Extreme Populations: Optimal Two-stage Decision Rules -- Multiple Comparisons and Tests -- Comparing Variances of Several Measurement Methods Using a Randomized Block Design with Repeat Measurements: A Case Study -- Impact of Missing Data and Imputation Methods on Multiple Test Procedures -- Asymptotic Second-order Efficiency for Two-stage Multiple Comparisons with Components of a Linear Function of Mean Vectors -- Agreement Assessment -- Measuring Agreement in Method Comparison Studies — A Review -- Measures of Concordance for Assessing Agreement in Ratings and Rank Order Data -- Reliability -- Cost-effective Analysis of Optimal Order-replacement Policies -- Estimating Reliabilities Following Purely Sequential Sampling from Exponential Populations -- Empirical Bayes Estimation of Mean Lifetime for an Exponential Distribution: Unequal Sample Sizes Case -- Blostatistics -- Bayesian Analysis of Mixtures of Improper Survival Distributions -- Multivariate Survival Analysis with PVF Frailty Models -- A Two-stage Design for Choosing Among Experimental Treatments in Clinical Trials En línea: http://dx.doi.org/10.1007/b138793 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35180 Advances in Ranking and Selection, Multiple Comparisons, and Reliability : Methodology and Applications [documento electrónico] / SpringerLink (Online service) ; Nagraj Balakrishnan ; H. N. Nagaraja ; N. Kannan . - Boston, MA : Birkhäuser Boston, 2005 . - XLIV, 412 p : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4422-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Life Sciences, Medicine, Health Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these fields and form a tribute to Panchapakesan’s influence and impact on these areas. Thematically organized, the chapters cover a broad range of topics from: * Inference * Ranking and Selection * Multiple Comparisons and Tests * Agreement Assessment * Reliability * Biostatistics Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities Nota de contenido: Inference -- Score Test: Historical Review and Recent Developments -- EM Algorithm and Optimal Censoring Schemes for Progressively Type-II Censored Bivariate Normal Data -- Inference Guided Data Exploration -- Discriminating Between Normal and Laplace Distributions -- A Simple Classification Rule for Directional Data -- Ranking and Selection -- On Some Ranking and Selection Procedures for MANOVA Models with Applications -- A Restricted Subset Selection Rule for Selecting At Least One of the t Best Normal Populations in Terms of Their Means: Common Known Variance Case -- Selecting the Best Population with Two Controls: An Empirical Bayes Approach -- Simultaneous Selection of Extreme Populations: Optimal Two-stage Decision Rules -- Multiple Comparisons and Tests -- Comparing Variances of Several Measurement Methods Using a Randomized Block Design with Repeat Measurements: A Case Study -- Impact of Missing Data and Imputation Methods on Multiple Test Procedures -- Asymptotic Second-order Efficiency for Two-stage Multiple Comparisons with Components of a Linear Function of Mean Vectors -- Agreement Assessment -- Measuring Agreement in Method Comparison Studies — A Review -- Measures of Concordance for Assessing Agreement in Ratings and Rank Order Data -- Reliability -- Cost-effective Analysis of Optimal Order-replacement Policies -- Estimating Reliabilities Following Purely Sequential Sampling from Exponential Populations -- Empirical Bayes Estimation of Mean Lifetime for an Exponential Distribution: Unequal Sample Sizes Case -- Blostatistics -- Bayesian Analysis of Mixtures of Improper Survival Distributions -- Multivariate Survival Analysis with PVF Frailty Models -- A Two-stage Design for Choosing Among Experimental Treatments in Clinical Trials En línea: http://dx.doi.org/10.1007/b138793 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35180 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Advances in Statistical Methods for the Health Sciences / SpringerLink (Online service) ; Jean-Louis Auget ; Nagraj Balakrishnan ; Mounir Mesbah ; Geert Molenberghs (2007)
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Título : Advances in Statistical Methods for the Health Sciences : Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Jean-Louis Auget ; Nagraj Balakrishnan ; Mounir Mesbah ; Geert Molenberghs Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2007 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XLII, 540 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4542-7 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Probabilities Statistics Probability Theory and Stochastic Processes Applications of for Life Sciences, Medicine, Health Sciences Statistical Methods Clasificación: 51 Matemáticas Resumen: Statistical methods have become increasingly important and now form integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range of topics pertaining to new statistical methods and novel applications in the health sciences. The chapters, written by leading experts in their respective fields, are thematically divided into the following areas: * Prognostic studies and general epidemiology * Pharmacovigilance * Quality of life * Survival analysis * Clustering * Safety and efficacy assessment * Clinical design * Models for the environment * Genomic analysis * Animal health This comprehensive volume will be highly useful an of great interest to the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics. Nota de contenido: Prognostic Studies and General Epidemiology -- Systematic Review of Multiple Studies of Prognosis: The Feasibility of Obtaining Individual Patient Data -- On Statistical Approaches for the Multivariable Analysis of Prognostic Marker Studies -- Where Next for Evidence Synthesis of Prognostic Marker Studies? Improving the Quality and Reporting of Primary Studies to Facilitate Clinically Relevant Evidence-Based Results -- Pharmacovigilance -- Sentinel Event Methods for Monitoring Unanticipated Adverse Events -- Spontaneous Reporting System Modelling for the Evaluation of Automatic Signal Generation Methods in Pharmacovigilance -- Quality of Life -- Latent Covariates in Generalized Linear Models: A Rasch Model Approach -- Sequential Analysis of Quality of Life Measurements with the Mixed Partial Credit Model -- A Parametric Degradation Model Used in Reliability, Survival Analysis, and Quality of Life -- Agreement Between Two Ratings with Different Ordinal Scales -- Survival Analysis -- The Role of Correlated Frailty Models in Studies of Human Health, Ageing, and Longevity -- Prognostic Factors and Prediction of Residual Survival for Hospitalized Elderly Patients -- New Models and Methods for Survival Analysis of Experimental Data -- Uniform Consistency for Conditional Lifetime Distribution Estimators Under Random Right-Censorship -- Sequential Estimation for the Semiparametric Additive Hazard Model -- Variance Estimation of a Survival Function with Doubly Censored Failure Time Data -- Clustering -- Statistical Models and Artificial Neural Networks: Supervised Classification and Prediction Via Soft Trees -- Multilevel Clustering for Large Databases -- Neural Networks: An Application for Predicting Smear Negative Pulmonary Tuberculosis -- Assessing Drug Resistance in HIV Infection Using Viral Load Using Segmented Regression -- Assessment of Treatment Effects on HIV Pathogenesis Under Treatment By State Space Models -- Safety and Efficacy Assessment -- Safety Assessment Versus Efficacy Assessment -- Cancer Clinical Trials with Efficacy and Toxicity Endpoints: A Simulation Study to Compare Two Nonparametric Methods -- Safety Assessment in Pilot Studies When Zero Events Are Observed -- Clinical Designs -- An Assessment of Up-and-Down Designs and Associated Estimators in Phase I Trials -- Design of Multicentre Clinical Trials with Random Enrolment -- Statistical Methods for Combining Clinical Trial Phases II And III -- SCPRT: A Sequential Procedure That Gives Another Reason to Stop Clinical Trials Early -- Models for the Environment -- Seasonality Assessment for Biosurveillance Systems -- Comparison of Three Convolution Prior Spatial Models for Cancer Incidence -- Longitudinal Analysis of Short-Term Bronchiolitis Air Pollution Association Using Semiparametric Models -- Genomic Analysis -- Are There Correlated Genomic Substitutions? -- Animal Health -- Swiss Federal Veterinary Office Risk Assessments: Advantages and Limitations of The Qualitative Method -- Qualitative Risk Analysis in Animal Health: A Methodological Example En línea: http://dx.doi.org/10.1007/978-0-8176-4542-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34547 Advances in Statistical Methods for the Health Sciences : Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis [documento electrónico] / SpringerLink (Online service) ; Jean-Louis Auget ; Nagraj Balakrishnan ; Mounir Mesbah ; Geert Molenberghs . - Boston, MA : Birkhäuser Boston, 2007 . - XLII, 540 p : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4542-7
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Probabilities Statistics Probability Theory and Stochastic Processes Applications of for Life Sciences, Medicine, Health Sciences Statistical Methods Clasificación: 51 Matemáticas Resumen: Statistical methods have become increasingly important and now form integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range of topics pertaining to new statistical methods and novel applications in the health sciences. The chapters, written by leading experts in their respective fields, are thematically divided into the following areas: * Prognostic studies and general epidemiology * Pharmacovigilance * Quality of life * Survival analysis * Clustering * Safety and efficacy assessment * Clinical design * Models for the environment * Genomic analysis * Animal health This comprehensive volume will be highly useful an of great interest to the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics. Nota de contenido: Prognostic Studies and General Epidemiology -- Systematic Review of Multiple Studies of Prognosis: The Feasibility of Obtaining Individual Patient Data -- On Statistical Approaches for the Multivariable Analysis of Prognostic Marker Studies -- Where Next for Evidence Synthesis of Prognostic Marker Studies? Improving the Quality and Reporting of Primary Studies to Facilitate Clinically Relevant Evidence-Based Results -- Pharmacovigilance -- Sentinel Event Methods for Monitoring Unanticipated Adverse Events -- Spontaneous Reporting System Modelling for the Evaluation of Automatic Signal Generation Methods in Pharmacovigilance -- Quality of Life -- Latent Covariates in Generalized Linear Models: A Rasch Model Approach -- Sequential Analysis of Quality of Life Measurements with the Mixed Partial Credit Model -- A Parametric Degradation Model Used in Reliability, Survival Analysis, and Quality of Life -- Agreement Between Two Ratings with Different Ordinal Scales -- Survival Analysis -- The Role of Correlated Frailty Models in Studies of Human Health, Ageing, and Longevity -- Prognostic Factors and Prediction of Residual Survival for Hospitalized Elderly Patients -- New Models and Methods for Survival Analysis of Experimental Data -- Uniform Consistency for Conditional Lifetime Distribution Estimators Under Random Right-Censorship -- Sequential Estimation for the Semiparametric Additive Hazard Model -- Variance Estimation of a Survival Function with Doubly Censored Failure Time Data -- Clustering -- Statistical Models and Artificial Neural Networks: Supervised Classification and Prediction Via Soft Trees -- Multilevel Clustering for Large Databases -- Neural Networks: An Application for Predicting Smear Negative Pulmonary Tuberculosis -- Assessing Drug Resistance in HIV Infection Using Viral Load Using Segmented Regression -- Assessment of Treatment Effects on HIV Pathogenesis Under Treatment By State Space Models -- Safety and Efficacy Assessment -- Safety Assessment Versus Efficacy Assessment -- Cancer Clinical Trials with Efficacy and Toxicity Endpoints: A Simulation Study to Compare Two Nonparametric Methods -- Safety Assessment in Pilot Studies When Zero Events Are Observed -- Clinical Designs -- An Assessment of Up-and-Down Designs and Associated Estimators in Phase I Trials -- Design of Multicentre Clinical Trials with Random Enrolment -- Statistical Methods for Combining Clinical Trial Phases II And III -- SCPRT: A Sequential Procedure That Gives Another Reason to Stop Clinical Trials Early -- Models for the Environment -- Seasonality Assessment for Biosurveillance Systems -- Comparison of Three Convolution Prior Spatial Models for Cancer Incidence -- Longitudinal Analysis of Short-Term Bronchiolitis Air Pollution Association Using Semiparametric Models -- Genomic Analysis -- Are There Correlated Genomic Substitutions? -- Animal Health -- Swiss Federal Veterinary Office Risk Assessments: Advantages and Limitations of The Qualitative Method -- Qualitative Risk Analysis in Animal Health: A Methodological Example En línea: http://dx.doi.org/10.1007/978-0-8176-4542-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34547 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar PermalinkPermalinkMathematical and Statistical Models and Methods in Reliability / SpringerLink (Online service) ; V. V. Rykov ; Nagraj Balakrishnan ; Mikhail S. Nikulin (2010)
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