Practical Applications of Bayesian Reliability

Yan Liu, Athula I. Abeyratne

  • 出版商: Wiley
  • 出版日期: 2019-05-28
  • 定價: $3,580
  • 售價: 9.5$3,401
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119287979
  • ISBN-13: 9781119287971
  • 相關分類: 機率統計學 Probability-and-statistics
  • 立即出貨 (庫存 < 3)

商品描述

Demonstrates how to solve reliability problems using practical applications of Bayesian models

This self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding.

Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more.

  • Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology
  • Educates managers on the potential of Bayesian reliability models and associated impact
  • Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications
  • Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies
  • JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications

Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.

商品描述(中文翻譯)

本書展示了如何使用貝葉斯模型的實際應用來解決可靠性問題。這本自成一體的參考書提供了貝葉斯可靠性的基礎知識,並通過眾多實例展示了貝葉斯模型如何解決現實生活中的可靠性問題。它教導工程師和科學家貝葉斯分析是什麼,其好處是什麼,以及他們如何應用這些方法來解決自己的問題。為了幫助讀者快速入門,本書提供了許多使用JAGS的貝葉斯模型,只需要不到10行命令。它還提供了一些簡單功能的短R腳本,以幫助讀者熟悉R編程。

《貝葉斯可靠性的實際應用》首先介紹了可靠性工程的基本概念,包括隨機變量、離散和連續概率分布、危險函數和被審查數據。接下來介紹了貝葉斯統計的基本概念、模型、原因和理論。然後介紹了貝葉斯計算、Metropolis-Hastings算法和Gibbs抽樣。本書還教授了設計能力和可靠性設計的概念;介紹了用於估計系統可靠性的貝葉斯模型;討論了貝葉斯階層模型及其應用;以及以貝葉斯觀點呈現線性和邏輯回歸模型等。

本書提供了一步步開發高級可靠性模型以解決複雜問題的方法,並不需要對統計方法學有深入的理解。它還向管理人員介紹了貝葉斯可靠性模型及其相關影響。書中介紹了常用的預測可靠性模型和基於實際應用的高級貝葉斯模型。書中還包括構建貝葉斯可靠性模型的實用指南,以及所有案例研究的計算機代碼。JAGS和R代碼可在附帶網站上找到,以便從業人員輕鬆複製並根據自己的應用進行調整。

《貝葉斯可靠性的實際應用》對於行業從業人員非常有幫助,例如可靠性工程師、機械工程師、電氣工程師、產品工程師、系統工程師和材料科學家,他們的工作涉及預測設計或產品性能。

作者簡介

YAN LIU, PHD, is Principal Reliability Engineer at Medtronic PLC, (USA). She is a certified Master Black Belt at Medtronic and has 12 years of working and consulting experience on reliability engineering and design for Six Sigma.

ATHULA I. ABEYRATNE, PHD, is Senior Principal Statistician and a certified DRM Black Belt at Medtronic PLC, (USA), where he has provided statistical consulting, training, data analyses, and modelling for 27 years.

作者簡介(中文翻譯)

YAN LIU博士是美敦力公司(美國)的首席可靠性工程師。她是美敦力公司的認證Master Black Belt,擁有12年的可靠性工程和Six Sigma設計的工作和諮詢經驗。

ATHULA I. ABEYRATNE博士是美敦力公司(美國)的高級主要統計師,也是認證的DRM Black Belt。他在美敦力公司提供統計諮詢、培訓、數據分析和建模工作已有27年的經驗。