Kleinbaum, David G. <br/><br/>
Applied regression analysis and other multivariable methods / 
David G. Kleinbaum, Lawrence L. Kupper. 
 - North Scituate :  Duxbury Press,  c1978. 
 - xv, 556 p. :  ill. ;  25 cm. +  hbk. 
<br/><br/>Includes bibliographical references (pages 486-490) and index. 
<br/><br/>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 multi-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. 
<br/><br/><label>ISBN: </label>0878721398 
<br/><br/><label>LCCN: </label>77022327 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Multivariate analysis.<br/>Regression analysis.
<br/><br/><label>Dewey Class. No.: </label>519.53