Quality Improvement Through Statistical Methods

  • Bovas Abraham

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xxxiii
  2. Statistics and Quality

    1. Front Matter
      Pages 1-1
    2. George E. P. Box
      Pages 3-12
    3. R. L. Sandland
      Pages 13-21
    4. Bovas Abraham, G. Dennis Beecroft
      Pages 23-33
    5. John F. Brewster, Smiley W. Cheng, Brian D. Macpherson, Fred A. Spiring
      Pages 45-58
  3. Statistical Process Control

  4. Design and Analysis of Experiments

    1. Front Matter
      Pages 205-205
    2. K. Vijayan, K. R. Shah
      Pages 221-235
    3. David W. Bacon, Rodney Lott
      Pages 237-247
    4. Albert Prat, Pere Grima
      Pages 249-262
    5. A. R. Chowdhury, J. Rajesh, G. K. Prasad
      Pages 263-274
    6. C. Hirotsu
      Pages 275-287
    7. Jai Hyun Byun, Kwang-Jae Kim
      Pages 289-297
  5. Statistical Methods for Reliability

  6. Statistical Methods for Quality Improvement

    1. Front Matter
      Pages 391-391
    2. Sat N. Gupta, Jacqueline Iannuzzi
      Pages 415-422
  7. Back Matter
    Pages 439-442

About this book


This book is based on the papers presented at the International Conference 'Quality Improvement through Statistical Methods' in Cochin, India during December 28-31, 1996. The Conference was hosted by the Cochin University of Science and Technology, Cochin, India; and sponsored by the Institute for Improvement in Quality and Productivity (IIQP) at the University of Waterloo, Canada, the Statistics in Industry Committee of the International Statistical Institute (lSI) and by the Indian Statistical Institute. There has been an increased interest in Quality Improvement (QI) activities in many organizations during the last several years since the airing of the NBC television program, "If Japan can ... why can't we?" Implementation of QI meth­ ods requires statistical thinking and the utilization of statistical tools, thus there has been a renewed interest in statistical methods applicable to industry and technology. This revitalized enthusiasm has created worldwide discussions on Industrial Statistics Research and QI ideas at several international conferences in recent years. The purpose of this conference was to provide a forum for presenting and ex­ changing ideas in Statistical Methods and for enhancing the transference of such technologies to quality improvement efforts in various sectors. It also provided an opportunity for interaction between industrial practitioners and academia. It was intended that the exchange of experiences and ideas would foster new international collaborations in research and other technology transfers.


Applied Statistics Quality Control Engineering approximation control engineering function optimization statistics

Editors and affiliations

  • Bovas Abraham
    • 1
  1. 1.Institute for Improvement in Quality and ProductivityUniversity of WaterlooWaterlooCanada

Bibliographic information