On Optimal Subset Selection Procedures


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Optimal Subset Selection


Optimal Subset Selection

Author: David Boyce

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-03-08


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In the course of one's research, the expediency of meeting contractual and other externally imposed deadlines too often seems to take priority over what may be more significant research findings in the longer run. Such is the case with this volume which, despite our best intentions, has been put aside time and again since 1971 in favor of what seemed to be more urgent matters. Despite this delay, to our knowledge the principal research results and documentation presented here have not been superseded by other publications. The background of this endeavor may be of some historical interest, especially to those who agree that research is not a straightforward, mechanistic process whose outcome or even direction is known in ad vance. In the process of this brief recounting, we would like to express our gratitude to those individuals and organizations who facilitated and supported our efforts. We were introduced to the Beale, Kendall and Mann algorithm, the source of all our efforts, quite by chance. Professor Britton Harris suggested to me in April 1967 that I might like to attend a CEIR half-day seminar on optimal regression being given by Professor M. G. Kendall in Washington. D. C. I agreed that the topic seemed interesting and went along. Had it not been for Harris' suggestion and financial support, this work almost certainly would have never begun.

A Note on Optimal Subset Selection Procedures


A Note on Optimal Subset Selection Procedures

Author: Shanti S. Gupta

language: en

Publisher:

Release Date: 1978


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This paper concerns the construction of optimal subset selection procedures. Some classical selection procedures are considered as special cases.

Multiple Decision Procedures


Multiple Decision Procedures

Author: Shanti S. Gupta

language: en

Publisher: SIAM

Release Date: 2002-01-01


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An encyclopaedic coverage of the literature in the area of ranking and selection procedures. It also deals with the estimation of unknown ordered parameters. This book can serve as a text for a graduate topics course in ranking and selection. It is also a valuable reference for researchers and practitioners.