Frontiers in Statistical Quality Control 5

1. Front Matter

   Pages I-X

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2. Sampling Inspection

   1. Front Matter

      Pages 1-1

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   2. An Adaptive Sampling System with a Fuzzy Controller

      • T. Koyama

      Pages 3-12

   3. Determination of Sample Sizes for Double Sampling Attribute Plans

      • A. Kanagawa, H. Ohta

      Pages 13-20

   4. Unbiased Estimation of Generalized Moments of Process Curves

      • W. Seidel

      Pages 21-37

   5. On the Non-Robustness of Maximum-Likelihood Sampling Plans by Variables

      • W. Kössler, H.-J. Lenz

      Pages 38-51

   6. Normal Approximations to the Distribution Function of the Symmetric Beta Distribution

      • D. H. Baillie

      Pages 52-65

3. Process Quality Control

   1. Front Matter

      Pages 67-67

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   2. A Mathematical Framework for Statistical Process Control

      • E. v. Collani

      Pages 69-82

   3. A Review of Statistical and Fuzzy Quality Control Charts Based on Categorical Data

      • W. H. Woodall, K.-L. Tsui, G. R. Tucker

      Pages 83-89

   4. Efficient Estimation of Control Chart Parameters

      • T. P. Ryan

      Pages 90-101

   5. Control Charts for Dependent and Multivariate Measurements

      • R. Y. Liu, J. Tang

      Pages 102-114

   6. On EWMA Charts for Time Series

      • W. Schmid

      Pages 115-137

   7. Statistical Process Control for Autocorrelated Processes: A Case-Study

      • J. Iwersen

      Pages 138-155

   8. Quality Control of a Continuously Monitored Production Process

      • O. Hryniewicz

      Pages 156-167

   9. Group Sequential Design with Delayed Observations for Selecting One of Two Processes in a Production System

      • H. Douke

      Pages 168-182

   10. Design of the (\( \overline x \), s) Control Chart Based on Kullback-Leibler Information

       • A. Kanagawa, I. Arizono, H. Ohta

       Pages 183-192

4. Data Analysis and Process Capability Studies

   1. Front Matter

      Pages 193-193

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   2. Measurement Error Effects on the Performance of Process Capability Indices

      • H.-J. Mittag

      Pages 195-206

   3. A New Approach for Describing and Controlling Process Capability

      • J. Fink, H. Wolff

      Pages 207-226

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.

• Analysis
• Qualitätskontrolle
• Qualitätsmangement
• Statistical Process Control
• Time series
• data analysis
• quality control
• quality management

• Institut für Statistik und Ökonometrie, Freie Universität Berlin, Berlin, Germany

  Hans-Joachim Lenz, Peter-Theodor Wilrich

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