## Practical Methods for Reliability Data AnalysisThis practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis. |

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### Contents

Introduction to reliability | 1 |

Lifetime distributions | 27 |

Analysis of lifetimes with covariates | 57 |

System reliability | 85 |

Models for repairable systems | 109 |

Analysis of repairable systems | 133 |

Growth and adaptive models | 151 |

Dependency analysis | 167 |

Practical aspects of reliability data analysis | 185 |

Case studies in reliability | 199 |

Appendix | 217 |

233 | |

### Common terms and phrases

alternative Ansell approach appropriate approximation assess assumed asymptotic batch censored observations considered covariates Cox and Lewis cumulative hazard function cumulative number data analysis data collection databases defined denoted dependency equations Example exponential distribution failure rate failure time distribution function is given gamma gamma distribution given in Fig given in Table hazard function Hence identical components illustrated independent Laplace transform lifetime distribution likelihood function linear log likelihood matrix maximum likelihood estimation modules multivariate NHPP null hypothesis number of events number of failures objective obtained operate performance plot Poisson distribution possible probability density function problem proportional hazards model random variable reliability data reliability engineers reliability function reliability studies renewal process repairable systems residuals right censored ROCOF S-PLUS sample Section shape parameter sodium sulphur battery standard error structure function Subsection suggested system is given techniques test statistic trend truncated usually variance Weibull distribution Weibull regression model zero