Statistical concepts : a second course for education and the behavioral sciences /

• Κύριος συγγραφέας: Lomax, Richard G.
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Mahwah, N.J. : L. Erlbaum Associates, �1998.
• Θέματα: Statistics > Study and teaching (Higher); Mathematical statistics > Study and teaching (Higher); Statistique > �Etude et enseignement (Sup�erieur); Statistique math�ematique > �Etude et enseignement (Sup�erieur); MATHEMATICS > Probability & Statistics > General.; Electronic books.

 Simple linear regression --   Introduction to the concepts of simple linear regression --   The population simple linear regression equation --   The sample simple linear regression equation --   Multiple regression --   Partial and semipartial correlations --   Multiple linear regression --   Variable selection procedures --   Nonlinear regression --   One-factor analysis of variance--fixed-effects model --   Characteristics of the one-factor anova model --   The layout of the data --   Anova theory --   The anova model --   Expected mean squares --   Assumptions and violation of assumptions --   The unequal NS or unbalanced procedure --   The Kruskal-Wallis one-factor analysis of variance --   The relationship of anova to regression analysis --   Multiple-comparison procedures --   Concepts of multiple comparison procedures --   Selected multiple comparison procedures --   Factorial analysis of variance--fixed-effects model --   The two-factor anova model --   Three-factor and higher order anova --   Factorial anova with unequal NS --   Introduction to analysis of covariance: the one-factor fixed-effects model with a single covariate --   Characteristics of the model --   The layout of the data --   The ancova model --   The ancova summary table --   Computation of sums of squares --   Adjusted means and multiple comparison procedures --   Assumptions and violation of assumptions --   An example --   Relationship of ancova and regression analysis --   Using statistical packages --   Ancova without randomization --   More complex ancova models --   Nonparametric ancova procedures.