9781461272779-1461272777-Quality Improvement Through Statistical Methods (Statistics for Industry and Technology)

Quality Improvement Through Statistical Methods (Statistics for Industry and Technology)

ISBN-13: 9781461272779
ISBN-10: 1461272777
Edition: Softcover reprint of the original 1st ed. 1998
Author: Bovas Abraham
Publication date: 2012
Publisher: Birkhäuser
Format: Paperback 475 pages
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Book details

ISBN-13: 9781461272779
ISBN-10: 1461272777
Edition: Softcover reprint of the original 1st ed. 1998
Author: Bovas Abraham
Publication date: 2012
Publisher: Birkhäuser
Format: Paperback 475 pages

Summary

Quality Improvement Through Statistical Methods (Statistics for Industry and Technology) (ISBN-13: 9781461272779 and ISBN-10: 1461272777), written by authors Bovas Abraham, was published by Birkhäuser in 2012. With an overall rating of 3.7 stars, it's a notable title among other books. You can easily purchase or rent Quality Improvement Through Statistical Methods (Statistics for Industry and Technology) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.
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