Lifetime Data Statistical Models And Methods PDF Download
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| Author | : Jerald F. Lawless |
| Publisher | : John Wiley & Sons |
| Total Pages | : 662 |
| Release | : 2011-01-25 |
| Genre | : Mathematics |
| ISBN | : 1118031253 |
Download Statistical Models and Methods for Lifetime Data Book in PDF, ePub and Kindle
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
| Author | : Jayant V Deshpande |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 258 |
| Release | : 2006-01-23 |
| Genre | : Mathematics |
| ISBN | : 9813101911 |
Download Lifetime Data: Statistical Models And Methods Book in PDF, ePub and Kindle
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.
| Author | : Nicholas P. Jewell |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 392 |
| Release | : 2013-04-17 |
| Genre | : Mathematics |
| ISBN | : 1475756542 |
Download Lifetime Data: Models in Reliability and Survival Analysis Book in PDF, ePub and Kindle
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).
| Author | : Jayant V. Deshpande |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 293 |
| Release | : 2015-12-15 |
| Genre | : Mathematics |
| ISBN | : 9789814730662 |
Download Lifetime Data Book in PDF, ePub and Kindle
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.
| Author | : Richard J. Cook |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 415 |
| Release | : 2007-08-02 |
| Genre | : Medical |
| ISBN | : 0387698094 |
Download The Statistical Analysis of Recurrent Events Book in PDF, ePub and Kindle
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.
| Author | : David Freedman |
| Publisher | : Cambridge University Press |
| Total Pages | : 442 |
| Release | : 2009-04-27 |
| Genre | : Mathematics |
| ISBN | : 0521743850 |
Download Statistical Models Book in PDF, ePub and Kindle
This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.
| Author | : Vilijandas Bagdonavicius |
| Publisher | : CRC Press |
| Total Pages | : 361 |
| Release | : 2001-11-28 |
| Genre | : Business & Economics |
| ISBN | : 1420035878 |
Download Accelerated Life Models Book in PDF, ePub and Kindle
The authors of this monograph have developed a large and important class of survival analysis models that generalize most of the existing models. In a unified, systematic presentation, this monograph fully details those models and explores areas of accelerated life testing usually only touched upon in the literature. Accelerated Life Models:
| Author | : Wayne B. Nelson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 626 |
| Release | : 2009-09-25 |
| Genre | : Mathematics |
| ISBN | : 0470317477 |
Download Accelerated Testing Book in PDF, ePub and Kindle
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . . a goldmine of knowledge on accelerated life testing principles and practices . . . one of the very few capable of advancing the science of reliability. It definitely belongs in every bookshelf on engineering." –Dev G. Raheja, Quality and Reliability Engineering International ". . . an impressive book. The width and number of topics covered, the practical data sets included, the obvious knowledge and understanding of the author and the extent of published materials reviewed combine to ensure that this will be a book used frequently." –Journal of the Royal Statistical Society A benchmark text in the field, Accelerated Testing: Statistical Models, Test Plans, and Data Analysis offers engineers, scientists, and statisticians a reliable resource on the effective use of accelerated life testing to measure and improve product reliability. From simple data plots to advanced computer programs, the text features a wealth of practical applications and a clear, readable style that makes even complicated physical and statistical concepts uniquely accessible. A detailed index adds to its value as a reference source.
| Author | : Ding-Geng (Din) Chen |
| Publisher | : Springer |
| Total Pages | : 382 |
| Release | : 2017-08-31 |
| Genre | : Mathematics |
| ISBN | : 9811051941 |
Download Statistical Modeling for Degradation Data Book in PDF, ePub and Kindle
This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.
| Author | : V.V. Rykov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 465 |
| Release | : 2010-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0817649719 |
Download Mathematical and Statistical Models and Methods in Reliability Book in PDF, ePub and Kindle
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.
