JOURNAL ARTICLE

Some sequential selection procedures for good regression models

Tong An HsuDeng Huang

Year: 1982 Journal:   Communication in Statistics- Theory and Methods Vol: 11 (4)Pages: 411-421   Publisher: Taylor & Francis

Abstract

In the past decade a number of fixed sampling methods have been developed for selecting the "best" or at least a "good" subset of vaiable in regression analysis. We are interested in deriving a sequential selection procedure to select a subset of a random size including equations. Tables for an example are given at the end of this paper

Keywords:
Selection (genetic algorithm) Regression Computer science Sampling (signal processing) Regression analysis Statistics Model selection Mathematics Machine learning

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7
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1.04
FWCI (Field Weighted Citation Impact)
4
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0.72
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Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Advanced Statistical Process Monitoring
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability

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