Statistical Models And Methods For Reliability And Survival Analysis

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Statistical Models and Methods for Reliability and Survival Analysis

Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah
Statistical Models and Methods for Reliability and Survival Analysis Book PDF

Author : Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah
Publisher : John Wiley & Sons
Page : 437 pages
File Size : 53,8 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9781118826997

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Statistical Models and Methods for Reliability and Survival Analysis by Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah Pdf

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistical Models and Methods in Survival Analysis, and Reliability and Maintenance. The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non-censored data.

Reliability and Survival Analysis

Md. Rezaul Karim,M. Ataharul Islam
Reliability and Survival Analysis Book PDF

Author : Md. Rezaul Karim,M. Ataharul Islam
Publisher : Springer
Page : 252 pages
File Size : 46,7 Mb
Release : 2019-08-09
Category : Medical
ISBN : 9789811397769

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Reliability and Survival Analysis by Md. Rezaul Karim,M. Ataharul Islam Pdf

This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences.

Lifetime Data: Models in Reliability and Survival Analysis

Nicholas P. Jewell,Alan C. Kimber,Mei-Ling Ting Lee,G. Alex Whitmore
Lifetime Data Models in Reliability and Survival Analysis Book PDF

Author : Nicholas P. Jewell,Alan C. Kimber,Mei-Ling Ting Lee,G. Alex Whitmore
Publisher : Springer Science & Business Media
Page : 392 pages
File Size : 47,5 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9781475756548

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Lifetime Data: Models in Reliability and Survival Analysis by Nicholas P. Jewell,Alan C. Kimber,Mei-Ling Ting Lee,G. Alex Whitmore Pdf

Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).

Lifetime Data

Jayant V Deshpande,Sudha G Purohit
Lifetime Data Book PDF

Author : Jayant V Deshpande,Sudha G Purohit
Publisher : World Scientific Publishing Company
Page : 304 pages
File Size : 47,6 Mb
Release : 2015-12-15
Category : Mathematics
ISBN : 9789814730686

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Lifetime Data by Jayant V Deshpande,Sudha G Purohit Pdf

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book. This new edition includes new sections on Frailty Models and Accelerated Life Time Models. Many more illustrations and exercises are also included.

Statistical Models and Methods for Biomedical and Technical Systems

Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol
Statistical Models and Methods for Biomedical and Technical Systems Book PDF

Author : Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol
Publisher : Springer Science & Business Media
Page : 556 pages
File Size : 42,8 Mb
Release : 2008-03-05
Category : Medical
ISBN : 9780817646196

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Statistical Models and Methods for Biomedical and Technical Systems by Filia Vonta,M.S. Nikulin,Nikolaos Limnios,Catherine Huber-Carol Pdf

This book deals with the mathematical aspects of survival analysis and reliability as well as other topics, reflecting recent developments in the following areas: applications in epidemiology; probabilistic and statistical models and methods in reliability; models and methods in survival analysis, longevity, aging, and degradation; accelerated life models; quality of life; new statistical challenges in genomics. The work will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering.

Survival Models and Data Analysis

Regina C. Elandt-Johnson,Norman L. Johnson
Survival Models and Data Analysis Book PDF

Author : Regina C. Elandt-Johnson,Norman L. Johnson
Publisher : John Wiley & Sons
Page : 490 pages
File Size : 54,6 Mb
Release : 1980-09-17
Category : Mathematics
ISBN : 0471031747

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Survival Models and Data Analysis by Regina C. Elandt-Johnson,Norman L. Johnson Pdf

Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.

Life Time Data

J. V. Deshpande,Sudha G. Purohit
Life Time Data Book PDF

Author : J. V. Deshpande,Sudha G. Purohit
Publisher : World Scientific Publishing Company
Page : 264 pages
File Size : 48,8 Mb
Release : 2005
Category : Business & Economics
ISBN : UVA:X004904523

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Life Time Data by J. V. Deshpande,Sudha G. Purohit Pdf

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There is an extensive discussion on the concept and role of ageing in choosing appropriate models for lifetime data, with a special emphasis on tests of exponentiality. There are interesting contributions related to the topics of ageing, tests for exponentiality, competing risks and repairable systems. A special feature of this book is that it introduces the public domain R-software and explains how it can be used in computations of methods discussed in the book. Contents: Ageing; Some Parametric Families of Probability Distributions; Parametric Analysis of Survival Data; Nonparametric Estimation of the Survival Function; Tests of Exponentiality; Two Sample Nonparametric Problems; Proportional Hazards Model: A Method of Regression; Analysis of Competing Risks; Repairable Systems. Key Features Special emphasis on ageing and tests of exponentiality and their role in choosing appropriate models for lifetime data Extensive discussion of classical parametric and nonparametric models and relevant inference Documentation of new results in ageing, testing for competing risks and repairable systems Readership: Graduate students, academics and researchers in probability and statistics, industrial engineering, decision sciences and bioinformatics.

Mathematical and Statistical Models and Methods in Reliability

V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Mathematical and Statistical Models and Methods in Reliability Book PDF

Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 45,5 Mb
Release : 2010-11-02
Category : Technology & Engineering
ISBN : 9780817649715

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N. Balakrishnan,M.S. Nikulin Pdf

The 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 renowned experts in the field of reliability, the contributions cover a wide range of 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. 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.

Mathematical and Statistical Models and Methods in Reliability

V.V. Rykov,N Balakrishnan,M.S. Nikulin
Mathematical and Statistical Models and Methods in Reliability Book PDF

Author : V.V. Rykov,N Balakrishnan,M.S. Nikulin
Publisher : Birkhäuser
Page : 457 pages
File Size : 45,8 Mb
Release : 2011-03-04
Category : Technology & Engineering
ISBN : 0817649727

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Mathematical and Statistical Models and Methods in Reliability by V.V. Rykov,N Balakrishnan,M.S. Nikulin Pdf

The 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 renowned experts in the field of reliability, the contributions cover a wide range of 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. 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.

Statistical Models and Methods for Lifetime Data

Jerald F. Lawless
Statistical Models and Methods for Lifetime Data Book PDF

Author : Jerald F. Lawless
Publisher : John Wiley & Sons
Page : 662 pages
File Size : 55,8 Mb
Release : 2011-01-25
Category : Mathematics
ISBN : 9781118031254

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Statistical Models and Methods for Lifetime Data by Jerald F. Lawless Pdf

Praise for the First Edition "An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ." -Choice "This is an important book, which will appeal to statisticians working on survival analysis problems." -Biometrics "A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook." -Statistics in Medicine The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts. New and expanded coverage in this edition includes: * Observation schemes for lifetime data * Multiple failure modes * Counting process-martingale tools * Both special lifetime data and general optimization software * Mixture models * Treatment of interval-censored and truncated data * Multivariate lifetimes and event history models * Resampling and simulation methodology

Statistical Models and Methods for Reliability and Survival Analysis

Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah
Statistical Models and Methods for Reliability and Survival Analysis Book PDF

Author : Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah
Publisher : John Wiley & Sons
Page : 437 pages
File Size : 50,7 Mb
Release : 2013-12-31
Category : Mathematics
ISBN : 9781848216198

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Statistical Models and Methods for Reliability and Survival Analysis by Vincent Couallier,Léo Gerville-Réache,Catherine Huber-Carol,Nikolaos Limnios,Mounir Mesbah Pdf

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in statistics over the past 30 years. The authors gather together various contributions with a broad array of techniques and results, divided into three parts - Statistical Models and Methods, Statistical Models and Methods in Survival Analysis, and Reliability and Maintenance. The book is intended for researchers interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non-censored data.

Handbook of Survival Analysis

John P. Klein,Hans C. van Houwelingen,Joseph G. Ibrahim,Thomas H. Scheike
Handbook of Survival Analysis Book PDF

Author : John P. Klein,Hans C. van Houwelingen,Joseph G. Ibrahim,Thomas H. Scheike
Publisher : CRC Press
Page : 635 pages
File Size : 40,9 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781466555679

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Handbook of Survival Analysis by John P. Klein,Hans C. van Houwelingen,Joseph G. Ibrahim,Thomas H. Scheike Pdf

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians

Analysis of Survival Data with Dependent Censoring

Takeshi Emura,Yi-Hau Chen
Analysis of Survival Data with Dependent Censoring Book PDF

Author : Takeshi Emura,Yi-Hau Chen
Publisher : Springer
Page : 84 pages
File Size : 47,5 Mb
Release : 2018-04-05
Category : Medical
ISBN : 9789811071645

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Analysis of Survival Data with Dependent Censoring by Takeshi Emura,Yi-Hau Chen Pdf

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring. The book demonstrates the advantages of the copula-based methods in the context of medical research, especially with regard to cancer patients’ survival data. Needless to say, the statistical methods presented here can also be applied to many other branches of science, especially in reliability, where survival analysis plays an important role. The book can be used as a textbook for graduate coursework or a short course aimed at (bio-) statisticians. To deepen readers’ understanding of copula-based approaches, the book provides an accessible introduction to basic survival analysis and explains the mathematical foundations of copula-based survival models.

The Statistical Analysis of Recurrent Events

Richard J. Cook,Jerald Lawless
The Statistical Analysis of Recurrent Events Book PDF

Author : Richard J. Cook,Jerald Lawless
Publisher : Springer Science & Business Media
Page : 415 pages
File Size : 44,5 Mb
Release : 2007-08-02
Category : Medical
ISBN : 9780387698090

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The Statistical Analysis of Recurrent Events by Richard J. Cook,Jerald Lawless Pdf

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage of the major approaches to analysis, while emphasizing the modeling assumptions that they are based on. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are all covered, with procedures for estimation, testing and model checking.

Statistical Methods for Survival Data Analysis

Elisa T. Lee,John Wenyu Wang
Statistical Methods for Survival Data Analysis Book PDF

Author : Elisa T. Lee,John Wenyu Wang
Publisher : John Wiley & Sons
Page : 389 pages
File Size : 52,7 Mb
Release : 2013-09-23
Category : Mathematics
ISBN : 9781118593059

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Statistical Methods for Survival Data Analysis by Elisa T. Lee,John Wenyu Wang Pdf

Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.