Información del autor
Autor Mikhail S. Nikulin |
Documentos disponibles escritos por este autor (4)
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 : 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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Título : Probability, Statistics and Modelling in Public Health Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Mikhail S. Nikulin ; Daniel Commenges ; Catherine Huber Editorial: Boston, MA : Springer US Fecha de publicación: 2006 Número de páginas: XXIV, 480 p Il.: online resource ISBN/ISSN/DL: 978-0-387-26023-5 Idioma : Inglés (eng) Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life. Audience This book is intended for researchers interested in statistical methodology in the biomedical field Nota de contenido: Forward and Backward Recurrence Times and Length Biased Sampling: Age Specific Models -- Difference between Male and Female Cancer Incidence Rates: How Can It Be Explained? -- Non-parametric estimation in degradation-renewal-failure models -- The Impact of Dementia and Sex on the Disablement in the Elderly -- Nonparametric Estimation for Failure Rate Functions of Discrete Time semi-Markov Processes -- Some recent results on joint degradation and failure time modeling -- Estimation in a Markov chain regression model with missing covariates -- Tests of Fit based on Products of Spacings -- A Survival Model With Change-Point in Both Hazard and Regression Parameters -- Mortality in Varying Environment -- Goodness of Fit of a joint model for event time and nonignorable missing Longitudinal Quality of Life data -- Three approaches for estimating prevalence of cancer with reversibility. Application to colorectal cancer -- On statistics of inverse gamma process as a model of wear -- Operating Characteristics of Partial Least Squares in Right-Censored Data Analysis and Its Application in Predicting the Change of HIV-I RNA -- Inference for a general semi-Markov model and a sub-model for independent competing risks -- Estimation Of Density For Arbitrarily Censored And Truncated Data -- Statistical Analysis of Some Parametric Degradation Models -- Use of statistical modelling methods in clinical practice -- Degradation-Threshold-Shock Models -- Comparisons of Test Statistics Arising from Marginal Analyses of Multivariate Survival Data -- Nonparametric Estimation and Testing in Survival Models -- Selecting a semi-parametric estimator by the expected log-likelihood -- Imputing responses that are not missing -- Bivariate Decision Processes -- Weighted Logrank Tests With Multiple Events -- Explained Variation and Predictive Accuracy in General Parametric Statistical Models: The Role of Model Misspecification -- Optimization of Breast Cancer Screening Modalities -- Sequential Analysis of Quality of Life Rasch Measurements -- Three Types of Hazard Functions Curves Described -- On the Analysis of Fuzzy Life Times and Quality of Life Data -- Statistical Inference for Two-Sample and Regression Models with Heterogeneity Effect: A Collected-Sample Perspective -- Failure Distributions Associated With General Compound Renewal Damage Processes En línea: http://dx.doi.org/10.1007/b136588 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34738 Probability, Statistics and Modelling in Public Health [documento electrónico] / SpringerLink (Online service) ; Mikhail S. Nikulin ; Daniel Commenges ; Catherine Huber . - Boston, MA : Springer US, 2006 . - XXIV, 480 p : online resource.
ISBN : 978-0-387-26023-5
Idioma : Inglés (eng)
Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life. Audience This book is intended for researchers interested in statistical methodology in the biomedical field Nota de contenido: Forward and Backward Recurrence Times and Length Biased Sampling: Age Specific Models -- Difference between Male and Female Cancer Incidence Rates: How Can It Be Explained? -- Non-parametric estimation in degradation-renewal-failure models -- The Impact of Dementia and Sex on the Disablement in the Elderly -- Nonparametric Estimation for Failure Rate Functions of Discrete Time semi-Markov Processes -- Some recent results on joint degradation and failure time modeling -- Estimation in a Markov chain regression model with missing covariates -- Tests of Fit based on Products of Spacings -- A Survival Model With Change-Point in Both Hazard and Regression Parameters -- Mortality in Varying Environment -- Goodness of Fit of a joint model for event time and nonignorable missing Longitudinal Quality of Life data -- Three approaches for estimating prevalence of cancer with reversibility. Application to colorectal cancer -- On statistics of inverse gamma process as a model of wear -- Operating Characteristics of Partial Least Squares in Right-Censored Data Analysis and Its Application in Predicting the Change of HIV-I RNA -- Inference for a general semi-Markov model and a sub-model for independent competing risks -- Estimation Of Density For Arbitrarily Censored And Truncated Data -- Statistical Analysis of Some Parametric Degradation Models -- Use of statistical modelling methods in clinical practice -- Degradation-Threshold-Shock Models -- Comparisons of Test Statistics Arising from Marginal Analyses of Multivariate Survival Data -- Nonparametric Estimation and Testing in Survival Models -- Selecting a semi-parametric estimator by the expected log-likelihood -- Imputing responses that are not missing -- Bivariate Decision Processes -- Weighted Logrank Tests With Multiple Events -- Explained Variation and Predictive Accuracy in General Parametric Statistical Models: The Role of Model Misspecification -- Optimization of Breast Cancer Screening Modalities -- Sequential Analysis of Quality of Life Rasch Measurements -- Three Types of Hazard Functions Curves Described -- On the Analysis of Fuzzy Life Times and Quality of Life Data -- Statistical Inference for Two-Sample and Regression Models with Heterogeneity Effect: A Collected-Sample Perspective -- Failure Distributions Associated With General Compound Renewal Damage Processes En línea: http://dx.doi.org/10.1007/b136588 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34738 Ejemplares
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Título : Statistical Models and Methods for Biomedical and Technical Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Filia Vonta ; Mikhail S. Nikulin ; Nikolaos Limnios ; Catherine Huber-Carol Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2008 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XXXVI, 556 p. 55 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4619-6 Idioma : Inglés (eng) Palabras clave: Medicine Epidemiology Applied mathematics Engineering Mathematical models Statistics Biomedical engineering & Public Health Applications of Mathematics for Life Sciences, Medicine, Sciences Statistical Theory and Methods Modeling Industrial Clasificación: 51 Matemáticas Resumen: An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation – Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research Nota de contenido: Cox Models, Analyses, and Extensions -- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation -- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates -- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect -- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models -- Multivariate Survival Data With Censoring -- Reliability Theory—Degradation Models -- Virtual (Biological) Age Versus Chronological Age -- A Competing Risks Model for Degradation and Traumatic Failure Times -- Generalized Birth and Death Processes as Degradation Models -- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability -- Optimal Incomplete Maintenance for Weibull Failure Processes -- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation? -- Multistate System Reliability Assessment by Using the Markov Reward Model -- Inferential Analysis -- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme -- Estimation of Rescaled Distribution -- Nested Plans for Sequential Change Point Detection—The Parametric Case -- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring -- Testing the Acceleration Function in Lifetime Models -- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing -- Goodness-of-Fit Tests for Pareto Distribution -- Application of Inverse Problems in Epidemiology and Biodemography -- Analysis of Censored Data -- A Sampling-Based Chi-Squared Test for Interval-Censored Data -- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects -- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes -- Quality of Life -- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models -- Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study -- A Bayesian Ponders “The Quality of Life” -- Inference for Processes -- On the Goodness-of-Fit Tests for Some Continuous Time Processes -- Nonparametric Estimation of Integral Functionals for Semi-Markov Processes with Application in Reliability -- Estimators for Partially Observed Markov Chains -- On Solving Statistical Problems for the Stochastic Processes by the Sufficient Empirical Averaging Method -- Designs -- Adaptive Designs for Group Sequential Clinical Survival Experiments -- Optimal Two-Treatment Repeated Measurement Designs for Two Periods -- Measures of Divergence, Model Selection, and Survival Models -- Discrepancy-Based Model Selection Criteria Using Cross-Validation -- Focused Information Criteria for the Linear Hazard Regression Model -- On Measures of Information and Divergence and Model Selection Criteria -- Entropy and Divergence Measures for Mixed Variables -- New Statistical Challenges -- Clinical Trials and the Genomic Evolution: Some Statistical Perspectives En línea: http://dx.doi.org/10.1007/978-0-8176-4619-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34267 Statistical Models and Methods for Biomedical and Technical Systems [documento electrónico] / SpringerLink (Online service) ; Filia Vonta ; Mikhail S. Nikulin ; Nikolaos Limnios ; Catherine Huber-Carol . - Boston, MA : Birkhäuser Boston, 2008 . - XXXVI, 556 p. 55 illus : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4619-6
Idioma : Inglés (eng)
Palabras clave: Medicine Epidemiology Applied mathematics Engineering Mathematical models Statistics Biomedical engineering & Public Health Applications of Mathematics for Life Sciences, Medicine, Sciences Statistical Theory and Methods Modeling Industrial Clasificación: 51 Matemáticas Resumen: An outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is comprised of contributions from renowned experts, demonstrating the significance of current research on theory, methods, and applications of the field. The contributions, which deal with the mathematical aspects of survival analysis and reliability as well as other topics, are a careful selection of invited and contributed chapters, reflecting recent developments in the following areas: * Applications in epidemiology * Estimation and testing for stochastic processes * Generalizations of the Cox regression model * Probabilistic and statistical models and methods in reliability * Semi-parametric inference in survival analysis * Models and methods in survival analysis, longevity, aging, and degradation * Nonparametric estimation – Goodness-of-fit tests * Accelerated life models * Quality of life * Analysis of censored data * Adaptive and repeated measurements designs * Measures of divergence, model selection, and survival models * New statistical challenges in genomics The book will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering. Practitioners and researchers in academia will gain insight and new ideas for exploring this fertile area of research Nota de contenido: Cox Models, Analyses, and Extensions -- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation -- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates -- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect -- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models -- Multivariate Survival Data With Censoring -- Reliability Theory—Degradation Models -- Virtual (Biological) Age Versus Chronological Age -- A Competing Risks Model for Degradation and Traumatic Failure Times -- Generalized Birth and Death Processes as Degradation Models -- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability -- Optimal Incomplete Maintenance for Weibull Failure Processes -- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation? -- Multistate System Reliability Assessment by Using the Markov Reward Model -- Inferential Analysis -- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme -- Estimation of Rescaled Distribution -- Nested Plans for Sequential Change Point Detection—The Parametric Case -- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring -- Testing the Acceleration Function in Lifetime Models -- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing -- Goodness-of-Fit Tests for Pareto Distribution -- Application of Inverse Problems in Epidemiology and Biodemography -- Analysis of Censored Data -- A Sampling-Based Chi-Squared Test for Interval-Censored Data -- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects -- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes -- Quality of Life -- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models -- Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study -- A Bayesian Ponders “The Quality of Life” -- Inference for Processes -- On the Goodness-of-Fit Tests for Some Continuous Time Processes -- Nonparametric Estimation of Integral Functionals for Semi-Markov Processes with Application in Reliability -- Estimators for Partially Observed Markov Chains -- On Solving Statistical Problems for the Stochastic Processes by the Sufficient Empirical Averaging Method -- Designs -- Adaptive Designs for Group Sequential Clinical Survival Experiments -- Optimal Two-Treatment Repeated Measurement Designs for Two Periods -- Measures of Divergence, Model Selection, and Survival Models -- Discrepancy-Based Model Selection Criteria Using Cross-Validation -- Focused Information Criteria for the Linear Hazard Regression Model -- On Measures of Information and Divergence and Model Selection Criteria -- Entropy and Divergence Measures for Mixed Variables -- New Statistical Challenges -- Clinical Trials and the Genomic Evolution: Some Statistical Perspectives En línea: http://dx.doi.org/10.1007/978-0-8176-4619-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34267 Ejemplares
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