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Refinar búsquedaAdvances in Degradation Modeling / SpringerLink (Online service) ; Mikhail S. Nikulin ; Nikolaos Limnios ; Nagraj Balakrishnan ; Waltraud Kahle ; Catherine Huber-Carol (2010)
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
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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
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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
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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
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Título : Mathematical and Statistical Models and Methods in Reliability : Applications to Medicine, Finance, and Quality Control Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; V. V. Rykov ; Nagraj Balakrishnan ; Mikhail S. Nikulin Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2010 Otro editor: Imprint: Birkhäuser Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XXVI, 457 p. 74 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4971-5 Idioma : Inglés (eng) Palabras clave: Engineering Applied mathematics Mathematical models Probabilities Statistics Quality control Reliability Industrial safety Control, Reliability, Safety and Risk Statistical Theory Methods Applications of Mathematics for Life Sciences, Medicine, Health Sciences Probability Stochastic Processes Modeling Clasificación: 51 Matemáticas Resumen: An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by recognized experts in the field of reliability, the contributions cover a wide range of models, methods, and applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. The volume is thematically organized into four major sections: * Reliability Models, Methods, and Optimization; * Statistical Methods in Reliability; * Applications; * Computer Tools for Reliability. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence Nota de contenido: Reliability Models, Methods, and Optimization -- Reliability of Semi-Markov Systems with Asymptotic Merging Phase Space -- Nonlinearly Perturbed Stochastic Processes and Systems -- On a Copula for Failure Times of System Elements -- On One Method of Reliability Coefficients Calculation for Objects in Non-Homogeneous Event Flows -- A New Approach to Maintenance Optimization by Modeling Intensity Control -- Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model -- Dynamics of Dependence Properties for Lifetimes Influenced by Unobservable Environmental Factors -- On Alternative of Choice for a Prophylaxis Problem -- Optimal Incomplete Maintenance for Systems with Discrete Time-to-Failure Distribution -- A Gini-Type Index for Aging/Rejuvenating Objects -- Redundancy Analysis for Multi-state System: Reliability and Financial Assessment -- On the Reliability Modeling of Hierarchical Systems -- Statistical Methods in Reliability -- Parametric Estimation of Redundant System Reliability From Censored Data -- Assessing Accuracy of Statistical Inferences by Resamplings -- Change Point Estimation in Regression Models with Fixed Design -- A Model for Field Failure Prediction Using Dynamic Environmental Data -- Efficient Regression Estimation Under General Censoring and Truncation -- On Generalized Tests of Fit for Multinomial Populations -- Modeling and Scaling of Categorical Data -- Nonparametric Estimation and Testing the Effect of Covariates in Accelerated Life Time Models Under Censoring -- Nonparametric Estimation of Time Trend for Repairable Systems Data -- Confidence Region for Distribution Function from Censored Data -- Empirical Estimate with Uniformly Minimal d-Risk for Bernoulli Trials Success Probability -- Estimation of Archival Lifetime Distribution for Writable Optical Disks from Accelerated Testings -- Applications -- Ages in Reliability and Bio Systems, Interpretations, Control, and Applications -- Shocks in Mixed Populations -- Bayesian Estimation of Degradation Model Defined by a Wiener Process -- Benefits of Threshold Regression: A Case-Study Comparison with Cox Proportional Hazards Regression -- Optimal Stopping and Reselling of European Options -- Bayesian Modeling of Health State Preferences -- Information Measures in Biostatistics and Reliability Engineering -- Reliability Computer Tools -- Software System for Simulation and Research of Probabilistic Regularities and Statistical Data Analysis in Reliability and Quality Control -- Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis En línea: http://dx.doi.org/10.1007/978-0-8176-4971-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33562 Mathematical and Statistical Models and Methods in Reliability : Applications to Medicine, Finance, and Quality Control [documento electrónico] / SpringerLink (Online service) ; V. V. Rykov ; Nagraj Balakrishnan ; Mikhail S. Nikulin . - Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2010 . - XXVI, 457 p. 74 illus : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4971-5
Idioma : Inglés (eng)
Palabras clave: Engineering Applied mathematics Mathematical models Probabilities Statistics Quality control Reliability Industrial safety Control, Reliability, Safety and Risk Statistical Theory Methods Applications of Mathematics for Life Sciences, Medicine, Health Sciences Probability Stochastic Processes Modeling Clasificación: 51 Matemáticas Resumen: An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by recognized experts in the field of reliability, the contributions cover a wide range of models, methods, and applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. The volume is thematically organized into four major sections: * Reliability Models, Methods, and Optimization; * Statistical Methods in Reliability; * Applications; * Computer Tools for Reliability. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence Nota de contenido: Reliability Models, Methods, and Optimization -- Reliability of Semi-Markov Systems with Asymptotic Merging Phase Space -- Nonlinearly Perturbed Stochastic Processes and Systems -- On a Copula for Failure Times of System Elements -- On One Method of Reliability Coefficients Calculation for Objects in Non-Homogeneous Event Flows -- A New Approach to Maintenance Optimization by Modeling Intensity Control -- Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model -- Dynamics of Dependence Properties for Lifetimes Influenced by Unobservable Environmental Factors -- On Alternative of Choice for a Prophylaxis Problem -- Optimal Incomplete Maintenance for Systems with Discrete Time-to-Failure Distribution -- A Gini-Type Index for Aging/Rejuvenating Objects -- Redundancy Analysis for Multi-state System: Reliability and Financial Assessment -- On the Reliability Modeling of Hierarchical Systems -- Statistical Methods in Reliability -- Parametric Estimation of Redundant System Reliability From Censored Data -- Assessing Accuracy of Statistical Inferences by Resamplings -- Change Point Estimation in Regression Models with Fixed Design -- A Model for Field Failure Prediction Using Dynamic Environmental Data -- Efficient Regression Estimation Under General Censoring and Truncation -- On Generalized Tests of Fit for Multinomial Populations -- Modeling and Scaling of Categorical Data -- Nonparametric Estimation and Testing the Effect of Covariates in Accelerated Life Time Models Under Censoring -- Nonparametric Estimation of Time Trend for Repairable Systems Data -- Confidence Region for Distribution Function from Censored Data -- Empirical Estimate with Uniformly Minimal d-Risk for Bernoulli Trials Success Probability -- Estimation of Archival Lifetime Distribution for Writable Optical Disks from Accelerated Testings -- Applications -- Ages in Reliability and Bio Systems, Interpretations, Control, and Applications -- Shocks in Mixed Populations -- Bayesian Estimation of Degradation Model Defined by a Wiener Process -- Benefits of Threshold Regression: A Case-Study Comparison with Cox Proportional Hazards Regression -- Optimal Stopping and Reselling of European Options -- Bayesian Modeling of Health State Preferences -- Information Measures in Biostatistics and Reliability Engineering -- Reliability Computer Tools -- Software System for Simulation and Research of Probabilistic Regularities and Statistical Data Analysis in Reliability and Quality Control -- Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis En línea: http://dx.doi.org/10.1007/978-0-8176-4971-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33562 Ejemplares
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