04824nam 2200637Ia 450 991078210010332120200520144314.01-281-86123-597866118612300-387-77950-710.1007/978-0-387-77950-8(CKB)1000000000491957(EBL)364398(OCoLC)288468936(SSID)ssj0000109313(PQKBManifestationID)11138438(PQKBTitleCode)TC0000109313(PQKBWorkID)10045437(PQKB)11080136(DE-He213)978-0-387-77950-8(MiAaPQ)EBC364398(Au-PeEL)EBL364398(CaPaEBR)ebr10245957(CaONFJC)MIL186123(PPN)128122730(EXLCZ)99100000000049195720080605d2008 uy 0engur|n|---|||||txtccrBayesian reliability[electronic resource] /Michael S. Hamada ... [et al.]1st ed. 2008.New York, NY Springerc20081 online resource (449 p.)Springer series in statisticsDescription based upon print version of record.0-387-77948-5 Includes bibliographical references and indexes.Reliability Concepts -- Bayesian Inference -- Advanced Bayesian Modeling and Computational Methods -- Component Reliability -- System Reliability -- Repairable System Reliability -- Regression Models in Reliability -- Using Degradation Data to Assess Reliability -- Planning for Reliability Data Collection -- Assurance Testing.Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses--algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward. This book is primarily a reference collection of modern Bayesian methods in reliability for use by reliability practitioners. There are more than 70 illustrative examples, most of which utilize real-world data. This book can also be used as a textbook for a course in reliability and contains more than 160 exercises. Noteworthy highlights of the book include Bayesian approaches for the following: Goodness-of-fit and model selection methods Hierarchical models for reliability estimation Fault tree analysis methodology that supports data acquisition at all levels in the tree Bayesian networks in reliability analysis Analysis of failure count and failure time data collected from repairable systems, and the assessment of various related performance criteria < Analysis of nondestructive and destructive degradation data Optimal design of reliability experiments Hierarchical reliability assurance testing Dr. Michael S. Hamada is a Technical Staff Member in the Statistical Sciences Group at Los Alamos National Laboratory and is a Fellow of the American Statistical Association. Dr. Alyson G. Wilson is a Technical Staff Member in the Statistical Sciences Group at Los Alamos National Laboratory. Dr. C. Shane Reese is an Associate Professor in the Department of Statistics at Brigham Young University. Dr. Harry F. Martz is retired from the Statistical Sciences Group at Los Alamos National Laboratory and is a Fellow of the American Statistical Association.Springer series in statistics.Bayesian statistical decision theoryReliability (Engineering)Statistical methodsBayesian statistical decision theory.Reliability (Engineering)Statistical methods.620.0045201519542Hamada Michael1955-1473755MiAaPQMiAaPQMiAaPQBOOK9910782100103321Bayesian reliability3687068UNINA03028nam 2200853Ia 450 991095225860332120241226110802.0978661179824697814462384311446238431978184860557218486055799781281798244128179824X97807619716270761971629(CKB)1000000000577302(EBL)354965(OCoLC)476177306(SSID)ssj0000364541(PQKBManifestationID)12110749(PQKBTitleCode)TC0000364541(PQKBWorkID)10413456(PQKB)10874747(SSID)ssj0000224833(PQKBManifestationID)11910954(PQKBTitleCode)TC0000224833(PQKBWorkID)10210971(PQKB)11673996(OCoLC)1007858117(StDuBDS)EDZ0000072075(Au-PeEL)EBL354965(CaPaEBR)ebr10256799(CaONFJC)MIL179824(OCoLC)1199301995(FINmELB)ELB138062(PPN)241545595(FR-PaCSA)88874933(MiAaPQ)EBC354965211453(FRCYB88874933)88874933(EXLCZ)99100000000057730220050425d2006 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierThe postcolonial challenge towards alternative worlds /Couze VennLondon ;Thousand Oaks, CA SAGE2006London ;Thousand Oaks, CA :SAGE,2006.1 online resource ([viii], 219 pages)Theory, culture & society9781446220900 1446220907 9780761971610 0761971610 Includes bibliographical references and index.Cover; Contents; Acknowledgements; Chapter 1 - Rethinking the Scope of the Postcolonial: Poscoloniality and the 'new world order'; Chapter 2 - Modernity, Modernization and the Postcolonial Present; Chapter 3 - Questions of Identity and Agency; Chapter 4 - Towards a Postcolonial Political Economy; Glossary; Bibliography; IndexThis volume maps the territory of postcolonial studies, and demonstrates how identity and postcolonialism relate. It also introduces new perspectives in the light of recent geo-political events, and provides a guide to future developments in the subject.Theory, culture & society (Unnumbered)PostcolonialismColonizationPhilosophyPostcolonialism.ColonizationPhilosophy.325.301Venn Couze622818MiAaPQMiAaPQMiAaPQBOOK9910952258603321The postcolonial challenge4340897UNINA