{"product_id":"weibull-models-hardback-9780471360926","title":"Weibull Models (Hardback) 9780471360926","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eWeibull Models\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eD. N. Prabhakar Murthy (Author), Min Xie (Author), Renyan Jiang (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471360926, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 16 December 2003\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e416 pages, Charts: 2 B\u0026amp;W, 0 Color; Tables: 0 B\u0026amp;W, 0 Color; Graphs: 35 B\u0026amp;W, 0 Color\u003cbr\u003e24.3 x 16.2 x 2 cm, 0.697 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"...valuable to readers seeking an overview of Weibull modelsand...a valuable contribution to libraries...\" (Journalof the American Statistical Association, September 2005)\u003cbr\u003e \u003cbr\u003e \"...may serve as a handbook in research andteaching...\" (Zentralblatt Math, Vol.1047, No.22,2004)\u003cbr\u003e \u003cbr\u003e \"The book is generally well written and easy to read. It couldserve as a useful reference to practitioners...andresearchers.\" (Technometrics, November 2004)\u003cbr\u003e \u003cbr\u003e \"The literature of Weibull models is vast, disjointed, andscattered across many different journals. There are a couple ofbooks devoted solely to the Weibull distribution, but these areoriented toward training and\/or consulting purposes. There is nobook that deals with the different Weibull models in an integratedmanner. This book fills that gap.\" (Mathematical Reviews,Issue 2004h)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eA comprehensive perspective on Weibull models\u003cbr\u003e \u003cbr\u003e The literature on Weibull models is vast, disjointed, andscattered across many different journals. Weibull Models is acomprehensive guide that integrates all the different facets ofWeibull models in a single volume.\u003cbr\u003e \u003cbr\u003e This book will be of great help to practitioners in reliabilityand other disciplines in the context of modeling data sets usingWeibull models. For researchers interested in these modelingtechniques, exercises at the end of each chapter define potentialtopics for future research.\u003cbr\u003e \u003cbr\u003e Organized into seven distinct parts, Weibull Models:\u003cbr\u003e * Covers model analysis, parameter estimation, model validation,and application\u003cbr\u003e * Serves as both a handbook and a research monograph. As ahandbook, it classifies the different models and presents theirproperties. As a research monograph, it unifies the literature andpresents the results in an integrated manner\u003cbr\u003e * Intertwines theory and application\u003cbr\u003e * Focuses on model identification prior to model parameterestimation\u003cbr\u003e * Discusses the usefulness of the Weibull Probability plot (WPP)in the model selection to model a given data set\u003cbr\u003e * Highlights the use of Weibull models in reliability theory\u003cbr\u003e \u003cbr\u003e Filled with in-depth analysis, Weibull Models pulls together themost relevant information on this topic to give everyone fromreliability engineers to applied statisticians involved withreliability and survival analysis a clear look at what Weibullmodels can offer.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART A OVERVIEW 1\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eChapter 1 Overview 3\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 Illustrative Problems 5\u003c\/p\u003e \u003cp\u003e1.3 Empirical Modeling Methodology 7\u003c\/p\u003e \u003cp\u003e1.4 Weibull Models 9\u003c\/p\u003e \u003cp\u003e1.5 Weibull Model Selection 11\u003c\/p\u003e \u003cp\u003e1.6 Applications of Weibull Models 12\u003c\/p\u003e \u003cp\u003e1.7 Outline of the Book 15\u003c\/p\u003e \u003cp\u003e1.8 Notes 16\u003c\/p\u003e \u003cp\u003eExercises 16\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Taxonomy for Weibull Models 18\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 18\u003c\/p\u003e \u003cp\u003e2.2 Taxonomy for Weibull Models 18\u003c\/p\u003e \u003cp\u003e2.3 Type I Models: Transformation of Weibull Variable 21\u003c\/p\u003e \u003cp\u003e2.4 Type II Models: Modification\/Generalization of Weibull Distribution 23\u003c\/p\u003e \u003cp\u003e2.5 Type III Models: Models Involving Two or More Distributions 28\u003c\/p\u003e \u003cp\u003e2.6 Type IV Models: Weibull Models with Varying Parameters 30\u003c\/p\u003e \u003cp\u003e2.7 Type V Models: Discrete Weibull Models 33\u003c\/p\u003e \u003cp\u003e2.8 Type VI Models: Multivariate Weibull Models 34\u003c\/p\u003e \u003cp\u003e2.9 Type VII Models: Stochastic Point Process Models 37\u003c\/p\u003e \u003cp\u003eExercises 39\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART B BASIC WEIBULL MODEL 43\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Model Analysis 45\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 45\u003c\/p\u003e \u003cp\u003e3.2 Basic Concepts 45\u003c\/p\u003e \u003cp\u003e3.3 Standard Weibull Model 50\u003c\/p\u003e \u003cp\u003e3.4 Three-Parameter Weibull Model 54\u003c\/p\u003e \u003cp\u003e3.5 Notes 55\u003c\/p\u003e \u003cp\u003eExercises 56\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Parameter Estimation 58\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 58\u003c\/p\u003e \u003cp\u003e4.2 Data Types 58\u003c\/p\u003e \u003cp\u003e4.3 Estimation: An Overview 60\u003c\/p\u003e \u003cp\u003e4.4 Estimation Methods and Estimators 61\u003c\/p\u003e \u003cp\u003e4.5 Two-Parameter Weibull Model: Graphical Methods 65\u003c\/p\u003e \u003cp\u003e4.6 Standard Weibull Model: Statistical Methods 67\u003c\/p\u003e \u003cp\u003e4.7 Three-Parameter Weibull Model 74\u003c\/p\u003e \u003cp\u003eExercises 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Model Selection and Validation 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 85\u003c\/p\u003e \u003cp\u003e5.2 Graphical Methods 86\u003c\/p\u003e \u003cp\u003e5.3 Goodness-of-Fit Tests 89\u003c\/p\u003e \u003cp\u003e5.4 Model Discrimination 93\u003c\/p\u003e \u003cp\u003e5.5 Model Validation 94\u003c\/p\u003e \u003cp\u003e5.6 Two-Parameter Weibull Model 95\u003c\/p\u003e \u003cp\u003e5.7 Three-Parameter Weibull Model 99\u003c\/p\u003e \u003cp\u003eExercises 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART C TYPES I AND II MODELS 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Type I Weibull Models 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 105\u003c\/p\u003e \u003cp\u003e6.2 Model I(a)-3: Reflected Weibull Distribution 106\u003c\/p\u003e \u003cp\u003e6.3 Model I(a)-4: Double Weibull Distribution 108\u003c\/p\u003e \u003cp\u003e6.4 Model I(b)-1: Power Law Transformation 109\u003c\/p\u003e \u003cp\u003e6.5 Model I(b)-2: Log Weibull Transformation 111\u003c\/p\u003e \u003cp\u003e6.6 Model I(b)-3: Inverse Weibull Distribution 114\u003c\/p\u003e \u003cp\u003eExercises 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Type II Weibull Models 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 121\u003c\/p\u003e \u003cp\u003e7.2 Model II(a)-1: Pseudo-Weibull Distribution 122\u003c\/p\u003e \u003cp\u003e7.3 Model II(a)-2: Stacy–Mihram Model 124\u003c\/p\u003e \u003cp\u003e7.4 Model II(b)-1: Extended Weibull Distribution 125\u003c\/p\u003e \u003cp\u003e7.5 Model II(b)-2: Exponentiated Weibull Distribution 127\u003c\/p\u003e \u003cp\u003e7.6 Model II(b)-3: Modified Weibull Distribution 134\u003c\/p\u003e \u003cp\u003e7.7 Models II(b)4–6: Generalized Weibull Family 138\u003c\/p\u003e \u003cp\u003e7.8 Model II(b)-7: Three-Parameter Generalized Gamma 140\u003c\/p\u003e \u003cp\u003e7.9 Model II(b)-8: Extended Generalized Gamma 143\u003c\/p\u003e \u003cp\u003e7.10 Models II(b)9–10: Four- and Five-Parameter Weibulls 145\u003c\/p\u003e \u003cp\u003e7.11 Model II(b)-11: Truncated Weibull Distribution 146\u003c\/p\u003e \u003cp\u003e7.12 Model II(b)-12: Slymen–Lachenbruch Distributions 148\u003c\/p\u003e \u003cp\u003e7.13 Model II(b)-13: Weibull Extension 151\u003c\/p\u003e \u003cp\u003eExercises 154\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART D TYPE III MODELS 157\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Type III(a) Weibull Models 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 159\u003c\/p\u003e \u003cp\u003e8.2 Model III(a)-1: Weibull Mixture Model 160\u003c\/p\u003e \u003cp\u003e8.3 Model III(a)-2: Inverse Weibull Mixture Model 176\u003c\/p\u003e \u003cp\u003e8.4 Model III(a)-3: Hybrid Weibull Mixture Models 179\u003c\/p\u003e \u003cp\u003e8.5 Notes 179\u003c\/p\u003e \u003cp\u003eExercises 180\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Type III(b) Weibull Models 182\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 182\u003c\/p\u003e \u003cp\u003e9.2 Model III(b)-1: Weibull Competing Risk Model 183\u003c\/p\u003e \u003cp\u003e9.3 Model III(b)-2: Inverse Weibull Competing Risk Model 190\u003c\/p\u003e \u003cp\u003e9.4 Model III(b)-3: Hybrid Weibull Competing Risk Model 191\u003c\/p\u003e \u003cp\u003e9.5 Model III(b)-4: Generalized Competing Risk Model 192\u003c\/p\u003e \u003cp\u003eExercises 195\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Type III(c) Weibull Models 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 197\u003c\/p\u003e \u003cp\u003e10.2 Model III(c)-1: Multiplicative Weibull Model 198\u003c\/p\u003e \u003cp\u003e10.3 Model III(c)-2: Inverse Weibull Multiplicative Model 203\u003c\/p\u003e \u003cp\u003eExercises 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Type III(d) Weibull Models 208\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 208\u003c\/p\u003e \u003cp\u003e11.2 Analysis of Weibull Sectional Models 210\u003c\/p\u003e \u003cp\u003e11.3 Parameter Estimation 216\u003c\/p\u003e \u003cp\u003e11.4 Modeling Data Set 219\u003c\/p\u003e \u003cp\u003e11.5 Applications 219\u003c\/p\u003e \u003cp\u003eExercises 220\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART E TYPES IV TO VII MODELS 221\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Type IV Weibull Models 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 223\u003c\/p\u003e \u003cp\u003e12.2 Type IV(a) Models 224\u003c\/p\u003e \u003cp\u003e12.3 Type IV(b) Models: Accelerated Failure Time (AFT) Models 225\u003c\/p\u003e \u003cp\u003e12.4 Type IV(c) Models: Proportional Hazard (PH) Models 229\u003c\/p\u003e \u003cp\u003e12.5 Model IV(d)-1 231\u003c\/p\u003e \u003cp\u003e12.6 Type IV(e) Models: Random Parameters 232\u003c\/p\u003e \u003cp\u003e12.7 Bayesian Approach to Parameter Estimation 236\u003c\/p\u003e \u003cp\u003eExercises 236\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Type V Weibull Models 238\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 238\u003c\/p\u003e \u003cp\u003e13.2 Concepts and Notation 238\u003c\/p\u003e \u003cp\u003e13.3 Model V-1 239\u003c\/p\u003e \u003cp\u003e13.4 Model V-2 242\u003c\/p\u003e \u003cp\u003e13.5 Model V-3 243\u003c\/p\u003e \u003cp\u003e13.6 Model V-4 244\u003c\/p\u003e \u003cp\u003eExercises 245\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Type VI Weibull Models (Multivariate Models) 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 247\u003c\/p\u003e \u003cp\u003e14.2 Some Preliminaries and Model Classification 248\u003c\/p\u003e \u003cp\u003e14.3 Bivariate Models 250\u003c\/p\u003e \u003cp\u003e14.4 Multivariate Models 256\u003c\/p\u003e \u003cp\u003e14.5 Other Models 258\u003c\/p\u003e \u003cp\u003eExercises 258\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15 Type VII Weibull Models 261\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 261\u003c\/p\u003e \u003cp\u003e15.2 Model Formulations 261\u003c\/p\u003e \u003cp\u003e15.3 Model VII(a)-1: Power Law Process 265\u003c\/p\u003e \u003cp\u003e15.4 Model VII(a)-2: Modulated Power Law Process 272\u003c\/p\u003e \u003cp\u003e15.5 Model VII(a)-3: Proportional Intensity Model 273\u003c\/p\u003e \u003cp\u003e15.6 Model VII(b)-1: Ordinary Weibull Renewal Process 274\u003c\/p\u003e \u003cp\u003e15.7 Model VII(b)-2: Delayed Renewal Process 277\u003c\/p\u003e \u003cp\u003e15.8 Model VII(b)-3: Alternating Renewal Process 278\u003c\/p\u003e \u003cp\u003e15.9 Model VII(c): Power Law–Weibull Renewal Process 278\u003c\/p\u003e \u003cp\u003eExercises 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART F WEIBULL MODELING OF DATA 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16 Weibull Modeling of Data 283\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 283\u003c\/p\u003e \u003cp\u003e16.2 Data-Related Issues 284\u003c\/p\u003e \u003cp\u003e16.3 Preliminary Model Selection and Parameter Estimation 285\u003c\/p\u003e \u003cp\u003e16.4 Final Model Selection Parameter Estimation and Model Validation 287\u003c\/p\u003e \u003cp\u003e16.5 Case Studies 290\u003c\/p\u003e \u003cp\u003e16.6 Conclusions 299\u003c\/p\u003e \u003cp\u003eExercises 299\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART G APPLICATIONS IN RELIABILITY 301\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17 Modeling Product Failures 303\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 303\u003c\/p\u003e \u003cp\u003e17.2 Some Basic Concepts 304\u003c\/p\u003e \u003cp\u003e17.3 Product Structure 306\u003c\/p\u003e \u003cp\u003e17.4 Modeling Failures 306\u003c\/p\u003e \u003cp\u003e17.5 Component-Level Modeling (Black-Box Approach) 306\u003c\/p\u003e \u003cp\u003e17.6 Component-Level Modeling (White-Box Approach) 308\u003c\/p\u003e \u003cp\u003e17.7 Component-Level Modeling (Gray-Box Approach) 312\u003c\/p\u003e \u003cp\u003e17.8 System-Level Modeling (Black-Box Approach) 313\u003c\/p\u003e \u003cp\u003e17.9 System-Level Modeling (White-Box Approach) 316\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18 Product Reliability and Weibull Models 324\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 324\u003c\/p\u003e \u003cp\u003e18.2 Premanufacturing Phase 325\u003c\/p\u003e \u003cp\u003e18.3 Manufacturing Phase 332\u003c\/p\u003e \u003cp\u003e18.4 Postsale Phase 336\u003c\/p\u003e \u003cp\u003e18.5 Decision Models Involving Weibull Failure Models 341\u003c\/p\u003e \u003cp\u003eReferences 348\u003c\/p\u003e \u003cp\u003eIndex 377\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Interscience","offers":[{"title":"Brand New","offer_id":52293394104600,"sku":"9780471360926","price":120.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471360926.jpg?v=1781639562","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/weibull-models-hardback-9780471360926","provider":"Freshly Printed Books","version":"1.0","type":"link"}