Isbn: 9780878721399 - applied regression analysis and other multivariable methods (7 risultati)

Hardcover. Condizione: Fair. First Edition. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Condizione: Good. 1st. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Hardcover. Condizione: Gut. xv ; 556 p. Good. Clean pages. Stamp on front paper. Cover with very mild wear. Sprache: Englisch Gewicht in Gramm: 1280.

Hardcover. Condizione: Very Good. No Jacket. 1st Edition. [1st edition, 1st printing] ; xv, 556 pages : illustrations ; 25 cm ; ISBN: 0878721398; 9780878721399 LCCN: 77-22327 ; LC: QA278; Dewey: 519.5/3; NLM: QA 278.2 ; OCLC: 3072125 ; beige and brown boards ; no dustjacket ; Contents: Some multivariable examples -- Variable classification and the choice of analysis -- Basic statistics : a review -- Introduction to regression analysis -- Straight-line regression analysis -- THe correlation coefficient and its relationship to straight-line regression analysis -- The analysis of variance table and its relationship to regression analysis -- Comparing two straight-line regression models -- Polynomial regression -- Multiple regression analysis -- Correlations: Multiple, partial and multiple-partial -- Summary of methods for testing hypotheses in multiple regression -- Dummy variables in regression -- Analysis of covariance and other methods for adjusting continuous data -- Selecting the best regression equation -- Residual analysis, transformations and weighted least squares -- One-way analysis of variance -- Randomized blocks: special case of two-way anova -- Two-way anova with equal cell numbers -- Two-way anova with unequal cell numbers -- Factor analysis -- Two-group discriminant analysis -- Analysis of categorical data -- References -- Tables -- Matrices and their relationaship to regression analysis -- Solutions to exercises ; name on front endpaper ; VG. Book.…

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