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Titlebook: Statistical Quality Technologies; Theory and Practice Yuhlong Lio,Hon Keung Tony Ng,Ding-Geng Chen Book 2019 Springer Nature Switzerland AG

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發(fā)表于 2025-3-21 19:40:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Statistical Quality Technologies
副標(biāo)題Theory and Practice
編輯Yuhlong Lio,Hon Keung Tony Ng,Ding-Geng Chen
視頻videohttp://file.papertrans.cn/877/876633/876633.mp4
概述Enriches understandings of the state-of-the-art statistical methodologies for quality control, acceptance sampling and reliability assessment.Provides the background mathematical and statistical model
叢書名稱ICSA Book Series in Statistics
圖書封面Titlebook: Statistical Quality Technologies; Theory and Practice Yuhlong Lio,Hon Keung Tony Ng,Ding-Geng Chen Book 2019 Springer Nature Switzerland AG
描述.This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health..
出版日期Book 2019
關(guān)鍵詞Industrial Statistics; Statistical Process Control; Statistical System Monitoring (SSM); Acceptance Sam
版次1
doihttps://doi.org/10.1007/978-3-030-20709-0
isbn_softcover978-3-030-20711-3
isbn_ebook978-3-030-20709-0Series ISSN 2199-0980 Series E-ISSN 2199-0999
issn_series 2199-0980
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Statistical Quality Technologies978-3-030-20709-0Series ISSN 2199-0980 Series E-ISSN 2199-0999
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2199-0980 t.Provides the background mathematical and statistical model.This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in q
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Some Recent Studies in Statistical Process Controlopment of new control charts that are appropriate to use without these assumptions. In this article, we briefly introduce some recent studies on nonparametric SPC, control charts for monitoring dynamic processes, and spatio-temporal process monitoring. Control charts developed in these directions have found broad applications in practice.
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The Stress-Strength Models for the Proportional Hazards Family and Proportional Reverse Hazards Fami on complete samples and record values, we derive the maximum likelihood estimation for the these stress-strength reliability. We also present the generalized confidence intervals for these stress-strength reliability. The simulation results show that the proposed generalized confidence intervals work well.
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