Nonparametric Statistical Process Control (Hardcover)
暫譯: 非參數統計過程控制(精裝版)
Chakraborti, Subhabrata, Graham, Marien
- 出版商: Wiley
- 出版日期: 2019-04-29
- 售價: $2,480
- 貴賓價: 9.8 折 $2,430
- 語言: 英文
- 頁數: 448
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1118456033
- ISBN-13: 9781118456033
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相關分類:
機率統計學 Probability-and-statistics
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商品描述
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.
商品描述(中文翻譯)
以獨特的方式理解統計品質控制的基礎,專注於非參數控制圖方法的最新發展
統計過程控制(Statistical Process Control, SPC)方法擁有悠久且成功的歷史,並在全球的工業生產中帶來了革命性的變化。本書探討了統計過程控制的最新發展,將現代計算機和模擬的使用與理論結合,使研究者和實務工作者都能夠接觸到這些知識。重點在於蓬勃發展的非參數SPC(Nonparametric SPC, NSPC)領域,以及全球研究者所開發的許多新方法,這些方法正在徹底改變SPC。
在過去幾年中,SPC的研究,特別是控制圖的研究,經歷了驚人的增長。控制圖不再僅限於製造業,現在已應用於各種應用中的過程控制和監測,從教育、環境監測、疾病地圖到犯罪預防。本書從統計學家的角度探討品質控制方法,特別是控制圖,並在理論與實踐之間取得謹慎的平衡。雖然重點在於較新的非參數控制圖,但讀者首先會接觸到參數控制圖的主要類別及其相關理論,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、取樣頻率、控制限等
- 專注於在基礎過程分佈未知的情況下的無分佈(非參數)圖表
- 提供控制圖選擇、選擇控制限及其他品質相關事宜的指導,並附上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
《非參數統計品質控制方法》提供了理論與實踐的獨特平衡,是學生、感興趣的實務工作者、研究者以及任何具備適當統計背景並希望了解SPC基礎及NSPC最新發展的人的重要資源。
作者簡介
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.
作者簡介(中文翻譯)
SUBHABRATA CHAKRABORTI, PHD 是美國阿拉巴馬州塔斯卡盧薩的阿拉巴馬大學統計學教授及Morrow Faculty Excellence Fellow。他是美國統計協會的會士,也是國際統計學會的當選成員。Chakraborti教授在多個研究領域做出了貢獻,包括截尾數據分析和收入推斷。他目前的研究興趣包括一般統計方法的發展,特別是非參數方法在統計過程控制中的應用。他曾擔任南非的Fulbright高級學者,並在包括印度、荷蘭和巴西在內的多個國家擔任訪問教授。因其在全球學生和學者的指導與合作工作而受到讚譽,Chakraborti教授在各種會議上發表過研討會、主題演講和研究工作坊。
MARIEN ALET GRAHAM, PHD 是南非比勒陀利亞大學科學、數學與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研究成果。