Nonparametric Statistical Process Control (Hardcover)

A unique approach to understanding the foundations of statistical quality control with a focus on the latest developments in nonparametric control charting methodologies

Statistical Process Control (SPC) methods have a long and successful history and have revolutionized many facets of industrial production around the world. This book addresses recent developments in statistical process control bringing the modern use of computers and simulations along with theory within the reach of both the researchers and practitioners. The emphasis is on the burgeoning field of nonparametric SPC (NSPC) and the many new methodologies developed by researchers worldwide that are revolutionizing SPC.

Over the last several years research in SPC, particularly on control charts, has seen phenomenal growth. Control charts are no longer confined to manufacturing and are now applied for process control and monitoring in a wide array of applications, from education, to environmental monitoring, to disease mapping, to crime prevention. This book addresses quality control methodology, especially control charts, from a statistician's viewpoint, striking a careful balance between theory and practice. Although the focus is on the newer nonparametric control charts, the reader is first introduced to the main classes of the parametric control charts and the associated theory, so that the proper foundational background can be laid.

• Reviews basic SPC theory and terminology, the different types of control charts, control chart design, sample size, sampling frequency, control limits, and more
• Focuses on the distribution-free (nonparametric) charts for the cases in which the underlying process distribution is unknown
• Provides guidance on control chart selection, choosing control limits and other quality related matters, along with all relevant formulas and tables
• Uses computer simulations and graphics to illustrate concepts and explore the latest research in SPC

Offering a uniquely balanced presentation of both theory and practice, Nonparametric Methods for Statistical Quality Control is a vital resource for students, interested practitioners, researchers, and anyone with an appropriate background in statistics interested in learning about the foundations of SPC and latest developments in NSPC.

一本獨特的書籍，以瞭解統計品質控制的基礎為重點，並關注非參數控制圖方法的最新發展。

統計過程控制（SPC）方法擁有悠久而成功的歷史，並在全球工業生產的許多方面引起了革命。本書討論了統計過程控制的最新發展，將現代計算機和模擬與理論結合，使研究人員和實踐者都能夠使用。重點是新興領域的非參數SPC（NSPC）以及全球研究人員開發的許多革新SPC的新方法。

在過去幾年中，SPC的研究，特別是控制圖方面，取得了驚人的增長。控制圖不再僅限於製造業，現在在各種應用中用於過程控制和監測，從教育到環境監測，再到疾病映射和犯罪預防。本書從統計學家的角度討論了品質控制方法，特別是控制圖，著重於理論和實踐之間的謹慎平衡。雖然重點是較新的非參數控制圖，但讀者首先介紹了主要的參數控制圖類別和相關理論，以便奠定適當的基礎背景。

- 回顧基本的SPC理論和術語，不同類型的控制圖，控制圖設計，樣本大小，抽樣頻率，控制限等。
- 專注於分布自由（非參數）圖表，適用於基礎過程分布未知的情況。
- 提供有關控制圖選擇，選擇控制限和其他與品質有關的事項的指導，以及所有相關的公式和表格。
- 使用計算機模擬和圖形來說明概念並探索SPC的最新研究。

提供了理論和實踐的獨特平衡呈現，《非參數統計品質控制方法》是學生、有興趣的從業人員、研究人員以及具有適當統計背景並有興趣了解SPC基礎和NSPC最新發展的人的重要資源。

SUBHABRATA CHAKRABORTI, PHD is Professor of Statistics and Morrow Faculty Excellence Fellow at the University of Alabama, Tuscaloosa, AL, USA. He is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. Professor Chakraborti has contributed in a number of research areas, including censored data analysis and income inference. His current research interests include development of statistical methods in general and nonparametric methods in particular for statistical process control. He has been a Fulbright Senior Scholar to South Africa and a visiting professor in several countries, including India, Holland and Brazil. Cited for his mentoring and collaborative work with students and scholars from around the world, Professor Chakraborti has presented seminars, delivered keynote/plenary addresses and conducted research workshops at various conferences.

MARIEN ALET GRAHAM, PHD is a senior lecturer at the Department of Science, Mathematics and Technology Education at the University of Pretoria, Pretoria, South Africa. She holds an Y1 rating from the South African National Research Foundation (NRF). Her current research interests are in Statistical Process Control, Nonparametric Statistics and Statistical Education. She has published several articles in international peer review journals and presented her work at various conferences.

SUBHABRATA CHAKRABORTI, PHD 是美國亞拉巴馬州塔斯卡盧薩的亞拉巴馬大學統計學教授和Morrow Faculty Excellence Fellow。他是美國統計學會的會士和國際統計學會的選舉會員。Chakraborti教授在多個研究領域做出了貢獻，包括被截斷數據分析和收入推斷。他目前的研究興趣包括發展統計方法，特別是非參數方法，用於統計過程控制。他曾擔任南非的富布萊特高級學者，並在印度、荷蘭和巴西等多個國家擔任訪問教授。Chakraborti教授因與來自世界各地的學生和學者的指導和合作工作而受到讚揚，他在各種會議上發表研討會、發表主題演講和舉辦研究工作坊。

MARIEN ALET GRAHAM, PHD 是南非比勒陀利亞大學科學、數學和技術教育系的高級講師。她擁有南非國家研究基金會（NRF）的Y1評級。她目前的研究興趣包括統計過程控制、非參數統計和統計教育。她在國際同行評審期刊上發表了多篇文章，並在各種會議上展示了她的工作。