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＜電子ブック＞
Reliability and Survival Analysis / by Md. Rezaul Karim, M. Ataharul Islam

版	1st ed. 2019.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2019
大きさ	XVII, 252 p. 43 illus., 18 illus. in color : online resource
著者標目	*Karim, Md. Rezaul author Islam, M. Ataharul author SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Statistics  LCSH:Social medicine FREE:Biostatistics FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Medical Sociology
一般注記	Chapter 1: Reliability and Survival Analysis: Concepts and Definitions -- Chapter 2: Mean Lifetime and Residual Lifetime -- Chapter 3: Probability Distributions of Lifetimes (Uncensored) -- Chapter 4: Censoring Mechanisms -- Chapter 5: Probability Distributions of Lifetimes under Censoring Schemes -- Chapter 6: Nonparametric Methods -- Chapter 7: Parametric Methods -- Chapter 8: Regression Models -- Chapter 9: Generalized Linear Models for Failure Times -- Chapter 10: Components and Systems -- Chapter 11: Reliability Functions and Ageing Properties -- Chapter 12: Models for Production System -- Chapter 13: Stochastic Models -- Chapter 14: Further Topics -- References -- Appendix - A: Statistical Tables -- Appendix - B: Data Sets -- Appendix - C: R-Packages and Programming Codes -- Index 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. HTTP:URL=https://doi.org/10.1007/978-981-13-9776-9

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