applied regression analysis

By: Contributor(s): Language: English Series: wiley series in probability and mathematical statistics. applied probability and statistics | bradley, ralph a. (ed.) | hunter j. stuart (ed.) | kendall, david g. (ed.) | et alPublication details: new york, london, sydney : john wiley and sons 1967, julyEdition: 3. prDescription: ix, 407 pp
Contents:
from the table of contents: fitting a straight line by least squares; the matrix approach to linear regression; the examination of residuals; two independent variables; more complicated models; selecting the "best" regression equation; a specific problem; multiple regression and mathematical model building; multiple regression applied to analysis of variance problems; an introduction to nonlinear estimation;
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Loanable Institute for Advanced Studies (IHS) Book 2977-A+a Available IHS100839204

from the table of contents: fitting a straight line by least squares; the matrix approach to linear regression; the examination of residuals; two independent variables; more complicated models; selecting the "best" regression equation; a specific problem; multiple regression and mathematical model building; multiple regression applied to analysis of variance problems; an introduction to nonlinear estimation;

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