Shortest Prediction Intervals For The Birnbaum Saunders Distribution
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Shortest Prediction Intervals For The Birnbaum Saunders Distribution
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Author : Zhenlin Yang
language : en
Publisher:
Release Date : 1994
Shortest Prediction Intervals For The Birnbaum Saunders Distribution written by Zhenlin Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Statistical Theory And Method Abstracts
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Author :
language : en
Publisher:
Release Date : 1995
Statistical Theory And Method Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Statistics categories.
Mathematical Reviews
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Author :
language : en
Publisher:
Release Date : 1996
Mathematical Reviews written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Mathematics categories.
2000 Proceedings Of The Section On Physical And Engineering Sciences American Statistical Association
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Author : American Statistical Association Section on Physical and Engineering Sciences
language : en
Publisher:
Release Date : 2000
2000 Proceedings Of The Section On Physical And Engineering Sciences American Statistical Association written by American Statistical Association Section on Physical and Engineering Sciences and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Statistical Methods For Reliability Data
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Author : William Q. Meeker
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-24
Statistical Methods For Reliability Data written by William Q. Meeker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-24 with Technology & Engineering categories.
An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the 93 data sets used in the book's examples and exercises. The importance of statistical methods in the area of engineering reliability continues to grow and SMRD2 offers an updated guide for, exploring, modeling, and drawing conclusions from reliability data. SMRD2 features: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition offers an authoritative guide to this important topic.
Prediction Intervals For First Order Markov Processes
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Author : Tatiraju S. Murthy
language : en
Publisher:
Release Date : 1979
Prediction Intervals For First Order Markov Processes written by Tatiraju S. Murthy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with categories.
A prediction interval is an interval that contains a future observation with a pre-specified probability. The limits of the interval are functions of known observations from a family of known distributions with given parameters. Though prediction intervals resemble confidence intervals, they differ from the latter conceptually. A confidence interval covers the value of a parameter of a distribution. A prediction interval, on the other hand, encloses the value of a random variable.
Current Index To Statistics Applications Methods And Theory
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Author :
language : en
Publisher:
Release Date : 1995
Current Index To Statistics Applications Methods And Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematical statistics categories.
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Bayesian Inference And Computation In Reliability And Survival Analysis
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Author : Yuhlong Lio
language : en
Publisher: Springer Nature
Release Date : 2022-08-01
Bayesian Inference And Computation In Reliability And Survival Analysis written by Yuhlong Lio and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-01 with Mathematics categories.
Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners. Because these theoretical and technological developments introduce new questions and challenges, and increase the complexity of the Bayesian framework, this book brings together experts engaged in groundbreaking research on Bayesian inference and computation to discuss important issues, with emphasis on applications to reliability and survival analysis. Topics covered are timely and have the potential to influence the interacting worlds of biostatistics, engineering, medical sciences, statistics, and more. The included chapters present current methods, theories, and applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research.
Electrical Electronics Abstracts
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Author :
language : en
Publisher:
Release Date : 1997
Electrical Electronics Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Electrical engineering categories.
The Birnbaum Saunders Distribution
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Author : Victor Leiva
language : en
Publisher: Academic Press
Release Date : 2015-10-26
The Birnbaum Saunders Distribution written by Victor Leiva and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-26 with Mathematics categories.
The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. Introduces inference in the Birnbaum-Saunders distribution Provides a comprehensive review of the statistical theory and methodology of the Birnbaum-Distribution Discusses different applications of the Birnbaum-Saunders distribution Explains characterization and the lifetime analysis