Frontiers in statistical quality con...
International Workshop on Intelligent Statistical Quality Control (2019 :)

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  • Frontiers in statistical quality control 13
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Frontiers in statistical quality control 13/ edited by Sven Knoth, Wolfgang Schmid.
    其他作者: Knoth, Sven.
    團體作者: International Workshop on Intelligent Statistical Quality Control
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: xvi, 406 p. :ill., digital ;24 cm.
    內容註: Part I Statistical Process Control -- Chapter 1 -- Use of the Conditional False Alarm Metric in Statistical Process Monitoring -- Chapter 2 Design Considerations and Tradeoffs for Shewhart Control Charts -- Chapter 3 On the Calculation of the ARL for Beta EWMA Control Charts -- Chapter 4 Flexible Monitoring Methods for High-Yield Processes -- Chapter 5 An Average Loss Control Chart Under a Skewed Process Distribution -- Chapter 6 ARL-unbiased CUSUM schemes to monitor binomial counts -- Chapter 7 Statistical Aspects of Target Setting for Attribute Data Monitoring -- Chapter 8 MAV control charts for monitoring two-state processes using indirectly observed binary data -- Chapter 9 Monitoring Image Processes - Overview and Comparison Study -- Chapter 10 Parallelized Monitoring of Dependent Spatiotemporal Processes -- Chapter 11 Product's Warranty Claim Monitoring under Variable Intensity Rates -- Chapter 12 A Statistical (Process Monitoring) Perspective on Human Performance Modeling in the Age of Cyber-Physical Systems -- Chapter 13 Monitoring Performance of Surgeons Using a New Risk-adjusted Exponentially Weighted Moving Average Control Chart -- Chapter 14 Exploring the usefulness of Functional Data Analysis for Health Surveillance -- Chapter 15 Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data -- Chapter 16 An approach to monitoring time between events when events are frequent -- Part II Selected Topics from Statistical Quality Control -- Chapter 17 Analysis of Measurement Precision Experiment with Ordinal Categorical Variables -- Chapter 18 Assessing a Binary Measurement System with Operator and Random Part Effects -- Chapter 19 Concepts, Methods and Tools Enabling Measurement Quality -- Chapter 20 Assessing laboratory effects in key comparisons with two transfer standards measured in two petals: A Bayesian approach -- Chapter 21 Quality control activities are a challenge for reducing variability -- Chapter 22 Is the Benford Law useful for Data Quality Assessment?
    Contained By: Springer Nature eBook
    標題: Quality control - Congresses. - Statistical methods -
    電子資源: https://doi.org/10.1007/978-3-030-67856-2
    ISBN: 9783030678562
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W9402723 電子資源 11.線上閱覽_V 電子書 EB TS156.A1 I64 2019 一般使用(Normal) 在架 0
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