9783540069577-3540069577-Optimal Subset Selection: Multiple Regression, Interdependence and Optimal Network Algorithms (Lecture Notes in Economics and Mathematical Systems, 103)

Optimal Subset Selection: Multiple Regression, Interdependence and Optimal Network Algorithms (Lecture Notes in Economics and Mathematical Systems, 103)

ISBN-13: 9783540069577
ISBN-10: 3540069577
Edition: Softcover reprint of the original 1st ed. 1974
Author: David Boyce, A. Farhi, R. Weischedel
Publication date: 1974
Publisher: Springer
Format: Paperback 204 pages
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Book details

ISBN-13: 9783540069577
ISBN-10: 3540069577
Edition: Softcover reprint of the original 1st ed. 1974
Author: David Boyce, A. Farhi, R. Weischedel
Publication date: 1974
Publisher: Springer
Format: Paperback 204 pages

Summary

Optimal Subset Selection: Multiple Regression, Interdependence and Optimal Network Algorithms (Lecture Notes in Economics and Mathematical Systems, 103) (ISBN-13: 9783540069577 and ISBN-10: 3540069577), written by authors David Boyce, A. Farhi, R. Weischedel, was published by Springer in 1974. With an overall rating of 4.2 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Optimal Subset Selection: Multiple Regression, Interdependence and Optimal Network Algorithms (Lecture Notes in Economics and Mathematical Systems, 103) (Paperback) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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 Despite this delay, to our knowledge the principal research results and documentation presented here have not been superseded by other publications.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.
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