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Autor Nikolaos Limnios |
Documentos disponibles escritos por este autor (3)
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 : Semi-Markov Chains and Hidden Semi-Markov Models toward Applications : Their use in Reliability and DNA Analysis Tipo de documento: documento electrónico Autores: Nikolaos Limnios ; SpringerLink (Online service) ; Vlad Stefan Barbu Editorial: New York, NY : Springer New York Fecha de publicación: 2008 Colección: Lecture Notes in Statistics, ISSN 0930-0325 num. 191 Número de páginas: XIV, 226 p Il.: online resource ISBN/ISSN/DL: 978-0-387-73173-5 Idioma : Inglés (eng) Palabras clave: Mathematics Bioinformatics Operations research Management science Probabilities Statistics Quality control Reliability Industrial safety Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Control, Reliability, Safety Risk Research, Science Clasificación: 51 Matemáticas Resumen: This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes are much more general and better adapted to applications than the Markov ones because sojourn times in any state can be arbitrarily distributed, as opposed to the geometrically distributed sojourn time in the Markov case. Another unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied probabilists and statisticians interested in semi-Markov chains theory, reliability and DNA analysis, and for theoretical oriented reliability and bioinformatics engineers. It can also serve as a text for a six month research-oriented course at a Master or PhD level. The prerequisites are a background in probability theory and finite state space Markov chains. Vlad Stefan Barbu is associate professor in statistics at the University of Rouen, France, Laboratory of Mathematics ‘Raphaël Salem.’ His research focuses basically on stochastic processes and associated statistical problems, with a particular interest in reliability and DNA analysis. He has published several papers in the field. Nikolaos Limnios is a professor in Applied Mathematics at the University of Technology of Compiègne. His research interest concerns stochastic processes and statistics with application to reliability. He is the co-author of the books: Semi-Markov Processes and Reliability (Birkhäuser, 2001 with G. Oprisan) and Stochastic Systems in Merging Phase Space (World Scientific, 2005, with V.S. Koroliuk) Nota de contenido: Discrete-Time Renewal Processes -- Semi-Markov Chains -- Non parametric Estimation for Semi-Markov Chains -- Reliability Theory for Discrete-Time Semi-Markov Systems -- Hidden Semi-Markov Model and Estimation En línea: http://dx.doi.org/10.1007/978-0-387-73173-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34175 Semi-Markov Chains and Hidden Semi-Markov Models toward Applications : Their use in Reliability and DNA Analysis [documento electrónico] / Nikolaos Limnios ; SpringerLink (Online service) ; Vlad Stefan Barbu . - New York, NY : Springer New York, 2008 . - XIV, 226 p : online resource. - (Lecture Notes in Statistics, ISSN 0930-0325; 191) .
ISBN : 978-0-387-73173-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Bioinformatics Operations research Management science Probabilities Statistics Quality control Reliability Industrial safety Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Control, Reliability, Safety Risk Research, Science Clasificación: 51 Matemáticas Resumen: This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes are much more general and better adapted to applications than the Markov ones because sojourn times in any state can be arbitrarily distributed, as opposed to the geometrically distributed sojourn time in the Markov case. Another unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied probabilists and statisticians interested in semi-Markov chains theory, reliability and DNA analysis, and for theoretical oriented reliability and bioinformatics engineers. It can also serve as a text for a six month research-oriented course at a Master or PhD level. The prerequisites are a background in probability theory and finite state space Markov chains. Vlad Stefan Barbu is associate professor in statistics at the University of Rouen, France, Laboratory of Mathematics ‘Raphaël Salem.’ His research focuses basically on stochastic processes and associated statistical problems, with a particular interest in reliability and DNA analysis. He has published several papers in the field. Nikolaos Limnios is a professor in Applied Mathematics at the University of Technology of Compiègne. His research interest concerns stochastic processes and statistics with application to reliability. He is the co-author of the books: Semi-Markov Processes and Reliability (Birkhäuser, 2001 with G. Oprisan) and Stochastic Systems in Merging Phase Space (World Scientific, 2005, with V.S. Koroliuk) Nota de contenido: Discrete-Time Renewal Processes -- Semi-Markov Chains -- Non parametric Estimation for Semi-Markov Chains -- Reliability Theory for Discrete-Time Semi-Markov Systems -- Hidden Semi-Markov Model and Estimation En línea: http://dx.doi.org/10.1007/978-0-387-73173-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34175 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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