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＜電子ブック＞
Frontiers in Statistical Quality Control 5 / edited by Hans-Joachim Lenz, Peter-Theodor Wilrich
(Frontiers in Statistical Quality Control. ISSN:26982714 ; 5)

版	1st ed. 1997.
出版者	(Heidelberg : Physica-Verlag HD : Imprint: Physica)
出版年	1997
大きさ	X, 297 p : online resource
著者標目	Lenz, Hans-Joachim editor Wilrich, Peter-Theodor editor SpringerLink (Online service)
件　名	LCSH:Econometrics LCSH:Production management LCSH:Operations research LCSH:Statistics  FREE:Econometrics FREE:Operations Management FREE:Operations Research and Decision Theory FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Quantitative Economics
一般注記	1: Sampling Inspection -- An Adaptive Sampling System with a Fuzzy Controller -- Determination of Sample Sizes for Double Sampling Attribute Plans -- Unbiased Estimation of Generalized Moments of Process Curves -- On the Non-Robustness of Maximum-Likelihood Sampling Plans by Variables -- Normal Approximations to the Distribution Function of the Symmetric Beta Distribution -- 2: Process Quality Control -- A Mathematical Framework for Statistical Process Control -- A Review of Statistical and Fuzzy Quality Control Charts Based on Categorical Data -- Efficient Estimation of Control Chart Parameters -- Control Charts for Dependent and Multivariate Measurements -- On EWMA Charts for Time Series -- Statistical Process Control for Autocorrelated Processes: A Case-Study -- Quality Control of a Continuously Monitored Production Process -- Group Sequential Design with Delayed Observations for Selecting One of Two Processes in a Production System -- Design of the ($$ \overline x $$, s) Control Chart Based on Kullback-Leibler Information -- 3: Data Analysis And Process Capability Studies -- Measurement Error Effects on the Performance of Process Capability Indices -- A New Approach for Describing and Controlling Process Capability -- On the Use of Field Failure Data for Repairable Systems to Identify Sources of Variation -- 4: Experimental Design -- Control Chart Method for Analyzing Staggered Nested Data -- Prediction Properties of the Process Variance Using the Combined Array -- Joint Analysis of Mean and Variance Function Based on Second Order Polynomials -- Dependability Improvement Through Unreplicated Experimental Designs Like the preceding volumes, and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications. The papers are classified under four main headings: sampling inspection, process quality control, data analysis and process capability studies and finally experimental design HTTP:URL=https://doi.org/10.1007/978-3-642-59239-3

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