商品描述 An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long-established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. This text illustrates methods with numerous applications and all the data sets are available on the book's website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook. This Second Edition: Contains a wealth of information on modern methods and techniques for reliability data analysis Offers discussions on the practical problem-solving power of various Bayesian inference methods Provides examples of Bayesian data analysis performed using the R interface to the Stan system based on Stan models that are available on the book's website Includes helpful technical-problem and data-analysis exercise sets at the end of every chapter Presents illustrative computer graphics that highlight data, results of analyses, and technical concepts Written for engineers and statisticians in industry and academia, Statistical Methods for Reliability Data, Second Edition includes access to a companion website with valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about commercial software for reliability data analysis, and csv files for the data sets used in the book's examples and exercises. 商品描述(中文翻譯) 《統計方法應用於可靠性數據的權威指南》 《統計方法應用於可靠性數據，第二版》（SMRD2）是一本關於可靠性數據分析和可靠性測試計劃的最廣泛使用和最新發展的統計方法的必備指南。由三位領域專家撰寫，SMRD2更新並擴展了長期以來的統計技術，並展示了如何應用強大的圖形、數值和基於模擬的方法於可靠性的各種應用中。SMRD2是一個全面的資源，描述了最大概似和貝葉斯方法來解決產品可靠性和相似應用領域中出現的實際問題。本書通過眾多應用案例來說明方法，並且所有數據集都可以在書籍的網站上找到。此外，SMRD2還包含了大量的練習題，以增強其作為課程教材的使用價值。 本書第二版的特點如下： - 包含了大量關於現代可靠性數據分析方法和技術的信息 - 討論了各種貝葉斯推斷方法在實際問題解決中的實用性 - 提供了使用R接口到Stan系統進行的貝葉斯數據分析示例，這些Stan模型可以在書籍的網站上找到 - 每章末尾提供了有用的技術問題和數據分析練習題 - 提供了以數據、分析結果和技術概念為重點的示意圖 《統計方法應用於可靠性數據，第二版》針對工業界和學術界的工程師和統計學家撰寫，並提供了一個附帶網站，其中包含有價值的資源，包括R套件、Stan模型代碼、演示幻燈片、技術筆記、關於商業軟體的可靠性數據分析信息，以及用於書中示例和練習的csv數據集。 作者簡介 William Q. Meeker, PhD, is Professor of Statistics and Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He is a Fellow of the American Association for the Advancement of Science, the American Statistical Association, and the American Society for Quality. Luis A. Escobar, PhD, is a Professor in the Department of Experimental Statistics at Louisiana State University. He is a Fellow of the American Statistical Association, an elected member of the International Statistics Institute, and an elected Member of the Colombian Academy of Sciences. Francis G. Pascual, PhD, is an Associate Professor in the Department of Mathematics and Statistics at Washington State University. 作者簡介(中文翻譯) William Q. Meeker, PhD 是愛荷華州立大學統計學教授和自由藝術與科學卓越教授。他是美國科學促進協會、美國統計學會和美國品質學會的會士。 Luis A. Escobar, PhD 是路易斯安那州立大學實驗統計學系教授。他是美國統計學會的會士，國際統計學會的選舉會員，以及哥倫比亞科學院的選舉會員。 Francis G. Pascual, PhD 是華盛頓州立大學數學與統計學系副教授。