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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書目名稱Statistical Quality Technologies影響因子(影響力)




書目名稱Statistical Quality Technologies影響因子(影響力)學(xué)科排名




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書目名稱Statistical Quality Technologies網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Statistical Quality Technologies被引頻次




書目名稱Statistical Quality Technologies被引頻次學(xué)科排名




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書目名稱Statistical Quality Technologies年度引用學(xué)科排名




書目名稱Statistical Quality Technologies讀者反饋




書目名稱Statistical Quality Technologies讀者反饋學(xué)科排名

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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.