http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
a model comparison approach to regression, ANOVA, and beyond
Preface -- Introduction to data analysis -- Simple models: definitions of error and parameter estimates -- Simple models: models of error and sampling distributions -- Simple models: statistical inferences about parameter values -- Simple regression: estimating models with a single continuous predictor -- Multiple regression: models with multiple continuous predictors -- Moderated and nonlinear regression models -- One-way anova: models with a single categorical predictor -- Factorial anova: models with multiple categorical predictors and product terms -- Ancova: models with continuous and categorical predictors -- Repeated measures anova: models with nonindependent errors -- Incorporating continuous predictors with nonindependent data: towards mixed models -- Outliers and ill-mannered error -- Logistic regression -- References -- Appendices -- Author index -- Subject index.
Charles M. Judd, University of Colorado, Gary H. McClelland, University of Colorado, Carey S. Ryan, University of Nebraska at Omaha.
Includes bibliographical references and indexes.