NDLI: A review of preliminary test-based statistical methods for the benefit of Six Sigma quality practitioners

Content Provider	Springer Nature Link
Author	Ravichandran, J.
Copyright Year	2010
Abstract	Ever since Professor Bancroft developed inference procedures using preliminary tests there has been a lot of research in this area by various authors across the world. This could be evidenced from two papers that widely reviewed the publications on preliminary test-based statistical methods. The use of preliminary tests in solving doubts arising over the model parameters has gained momentum as it has proven to be effective and powerful over to that of classical methods. Unfortunately, there has been a downward trend in research related to preliminary tests as it could be seen from only few recent publications. Obviously, the benefits of preliminary test-based statistical methods did not reach Six Sigma practitioners as the concept of Six Sigma just took off and it was in a premature state. In this paper, efforts have been made to present a review of the publications on the preliminary test-based statistical methods. Though studies on preliminary test-based methods have been done in various areas of statistics such as theory of estimation, hypothesis testing, analysis of variance, regression analysis, reliability, to mention a few, only few important methods are presented here for the benefit of readers, particularly Six Sigma quality practitioners, to understand the concept. In this regard, the define, measure, analyze, improve and control methodology of six sigma is presented with a link of analyze phase to preliminary test-based statistical methods. Examples are also given to illustrate the procedures.
Starting Page	531
Ending Page	547
Page Count	17
File Format	PDF
ISSN	09325026
Journal	Statistical Papers
Volume Number	53
Issue Number	3
e-ISSN	16139798
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-09-17
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Analysis of variance Classical statistical methods DMAIC cycle Preliminary test-based statistical methods Six Sigma Economic Theory Probability Theory and Stochastic Processes Statistics for Business/Economics/Mathematical Finance/Insurance Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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A review of preliminary test-based statistical methods for the benefit of Six Sigma quality practitioners

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