Experiments: Planning, Analysis, and Optimization, 3/e (Hardcover)

Hamada, Michael S.

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商品描述

Praise for the First Edition:

"If you ... want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library."
--Journal of the American Statistical Association

A COMPREHENSIVE REVIEW OF MODERN EXPERIMENTAL DESIGN

Experiments: Planning, Analysis, and Optimization, Third Edition provides a complete discussion of modern experimental design for product and process improvement--the design and analysis of experiments and their applications for system optimization, robustness, and treatment comparison. While maintaining the same easy-to-follow style as the previous editions, this book continues to present an integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. New chapters provide modern updates on practical optimal design and computer experiments, an explanation of computer simulations as an alternative to physical experiments. Each chapter begins with a real-world example of an experiment followed by the methods required to design that type of experiment. The chapters conclude with an application of the methods to the experiment, bridging the gap between theory and practice.

The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays.

The third edition includes:

  • Information on the design and analysis of computer experiments
  • A discussion of practical optimal design of experiments
  • An introduction to conditional main effect (CME) analysis and definitive screening designs (DSDs)
  • New exercise problems

This book includes valuable exercises and problems, allowing the reader to gauge their progress and retention of the book's subject matter as they complete each chapter.

Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study.

Experiments: Planning, Analysis, and Optimization, Third Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.

商品描述(中文翻譯)

第一版的好評如潮:
「如果你...想要一本由在這個領域有很大貢獻的作者所撰寫的最新、權威的參考書,那麼這本書是你圖書館中必不可少的一部分。」
--《美國統計學會期刊》

現代實驗設計的全面評論:
《實驗:規劃、分析和優化,第三版》提供了一個完整的現代實驗設計討論,用於產品和流程改進,包括實驗的設計和分析以及其在系統優化、韌性和治療比較方面的應用。本書保持了前幾版易於理解的風格,繼續呈現一個整合的實驗設計和分析系統,可應用於工程、醫學和物理科學等各個研究領域。新的章節提供了關於實用最佳設計和計算機實驗的現代更新,以及將計算機模擬解釋為物理實驗的替代方法。每個章節以一個實驗的實際例子開始,然後介紹設計該類型實驗所需的方法。章節以將方法應用於實驗的方式結束,彌合了理論與實踐之間的差距。

作者們在精煉許多尖端主題的同時,現代化了已被接受的方法,包括韌性參數設計、非正態數據分析、具有複雜別名的實驗分析、多層次設計、最小畸變設計和正交陣列。

第三版包括:
- 設計和分析計算機實驗的資訊
- 實用最佳實驗設計的討論
- 有條件主效應(CME)分析和明確篩選設計(DSD)的介紹
- 新的練習問題

本書包含有價值的練習和問題,讓讀者在完成每個章節時能評估他們對書中內容的進展和保持情況。

作者們借鑒了他們多年與工業客戶合作的案例,將許多尖端主題呈現在一個單一、易於理解的來源中。書中還包括廣泛的案例研究,包括目標、數據和實驗設計,並且可以在相關的FTP網站上找到書中的數據集,以及其他補充資料。章節摘要提供了討論方法的簡明概述,廣泛的附錄指引讀者進一步學習資源。

《實驗:規劃、分析和優化,第三版》是高年級本科和研究生實驗設計課程的優秀教材。對於實踐工程師和統計學家來說,它也是一個寶貴的資源。

作者簡介

C. F. JEFF WU, PHD, is Coca-Cola Professor in Engineering Statistics at the Georgia Institute of Technology. Dr. Wu has published more than 180 papers and is the recipient of numerous accolades, including the National Academy of Engineering membership and the COPSS Presidents' Award.

MICHAEL S. HAMADA, PHD, is Senior Scientist at Los Alamos National Laboratory (LANL) in New Mexico. Dr. Hamada is a Fellow of the American Statistical Association, a LANL Fellow, and has published more than 160 papers.

作者簡介(中文翻譯)

C. F. JEFF WU博士是喬治亞理工學院的可口可樂工程統計學教授。Wu博士已發表超過180篇論文,並獲得多項殊榮,包括國家工程院院士和COPSS主席獎。

MICHAEL S. HAMADA博士是新墨西哥州洛斯阿拉莫斯國家實驗室的高級科學家。Hamada博士是美國統計學會的會士,洛斯阿拉莫斯國家實驗室的會士,並發表了超過160篇論文。