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Statistical and Probabilistic Models in Reliability Book

Statistical and Probabilistic Models in Reliability
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Statistical and Probabilistic Models in Reliability, This book presents twenty-four carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of relevant statistica, Statistical and Probabilistic Models in Reliability
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  • Statistical and Probabilistic Models in Reliability
  • Written by author Nikolaos Limnios
  • Published by Birkhauser Verlag, 12/31/2012
  • This book presents twenty-four carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of relevant statistica
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Book Categories

Authors

Foreword
Preface
Contributors
List of Tables
List of Figures
Glossary of Terms
Pt. I Statistical Methods
1 Statistical Modeling and Analysis of Repairable Systems 3
2 CPIT Goodness-of-Fit Tests for Reliability Growth Models 27
3 On the Use of Minimally Informative Copulae in Competing Risk Problems 39
4 Model Building in Accelerated Experiments 51
5 On Semiparametric Estimation of Reliability From Accelerated Life Data 75
6 Analysis of Reliability Characteristics Estimators in Accelerated Life Testing 91
7 Chi-Squared Goodness of Fit Test for Doubly Censored Data With Applications in Survival Analysis and Reliability 101
8 Estimation of Kernel, Availability and Reliability of Semi-Markov Systems 113
Pt. II Probabilistic Methods
9 Stochastical Models of Systems in Reliability Problems 127
10 Markovian Repairman Problems. Classification and Approximation 143
11 On Limit Reliability Functions of Large Systems. Part I 153
12 On Limit Reliability Functions of Large Systems. Part II 185
13 Error Bounds for a Stiff Markov Chain Approximation Technique and an Application 199
14 On the Failure Rate of Components Subjected to a Diffuse Stress Environment 213
15 Modelling the Reliability of a Complex System Under Stress Environment 225
16 On the Failure Rate 235
17 Asymptotic Results for the Failure Time of Consecutive k-out-of-n Systems 243
Pt. III Special Techniques and Applications
18 Two-State Start-Up Demonstration Testing 251
19 Optimal Prophylaxis Policy for Systems With Partly Observable Parameters 265
20 Exact Methods to Compute Network Reliability 279
21 On Matroid Base Families and the Reliability Computation of Totally Amenable Systems 295
22 The Computer-Assisted Analysis of the Semi-Markovian Stochastic Petri Nets and an Application 307
23 Incremental Approach for Building Stochastic Petri Nets for Dependability Modeling 321
24 Lifetime of High Temperature Working Pipes 337
Index 349


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Statistical and Probabilistic Models in Reliability, This book presents twenty-four carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of relevant statistica, Statistical and Probabilistic Models in Reliability

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Statistical and Probabilistic Models in Reliability, This book presents twenty-four carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of relevant statistica, Statistical and Probabilistic Models in Reliability

Statistical and Probabilistic Models in Reliability

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Statistical and Probabilistic Models in Reliability, This book presents twenty-four carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of relevant statistica, Statistical and Probabilistic Models in Reliability

Statistical and Probabilistic Models in Reliability

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