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Algorithms for regression analysis.

A. Bartkowiakowa — 1976

Mathematica Applicanda

This is a superficial review of basic problems in linear regression analysis. The discussion is numerically oriented; it covers estimation of regression coefficients, tests of various hypotheses about them, and selection of the best subset of explanatory variables. For a comprehensive study of the selection problem and other closely related topics, see the recent survey article by R. R. Hocking [Biometrics 32 (1976), no. 1, 1–49; MR0398008]. (MR0448720)

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