Frontiers in Statistical Quality Control edited by Hans-Joachim Lenz, G. Barry Wetherill, Peter-Theodor Wilrich.

Like the first three volumes, published in 1981, 1984 and 1987 and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications. The papers are classified under three main headings; sampling inspection, process quality contr...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lenz, Hans-Joachim (Editor), Wetherill, G. Barry (Editor), Wilrich, Peter-Theodor (Editor)
Format: eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 1992.
Edition:1st ed. 1992.
Series:Frontiers in Statistical Quality Control ; 4
Springer eBook Collection.
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Online Access:Click to view e-book
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Table of Contents:
  • Sampling Inspection
  • Attriables Acceptance Sampling Plans
  • Sensitivity to Process Quality under the Proposed Revision of ISO 2859
  • Bounded Outgoing Quality Sampling Plans when the Prior Distribution of Lot Defectives is not Binomial
  • Developmental Studies on New Sampling Inspection Plans
  • On the Design of Exact Single Sampling Plans by Variables
  • The Pitfall of Acceptance Sampling by Variables
  • Design of Economic Sampling Plan Based on Empirical Bayesian Approach
  • Minimax Regret Sampling Plans Based on Generalized Moments of the Prior Distribution
  • Process Quality Control
  • Shewhart Control Charts for Individuals with Time-Ordered Data
  • On an Adaptive Acceptance Control Chart for Autocorrelated Processes
  • The Use (and Misuse) of False Alarm Probabilities in Control Chart Design
  • Optimal Dynamic Application of a Fraction-Defective Control Chart to Control a Production Process
  • Importance of Process and Control in Statistical Process Control
  • Robustness and Flexibility of Constrained Economic Designs
  • Approximately Optimal Economic Process Control for a General Class of Control Procedures
  • Control Charts for Environmental Data
  • Statistical Process Control for the Process Industries
  • Experimental Design
  • Comparison of New Techniques to Identify Significant Effects in Unreplicated Factorial Designs
  • An Algorithm for the Construction of Orthogonal Factorial Designs.