Linear models are used to describe data in statistical analysis, and the analysis of variance is used to estimate and make inferences about the means of populations. Although extensive literature exists on the methods of analyzing data in the context of linear models, there is a lack of agreement on the appropriate analysis and some confusion over the application of existing methods. This book aims to present methods in a conceptually simple way so the reader may more easily understand the applications of the methods. It contains a balance of theory and applications and there is a solutions manual and data sets disk included.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 229 mm
Breite: 152 mm
Gewicht
ISBN-13
978-0-471-59282-2 (9780471592822)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Partial table of contents:; INTRODUCTION AND BASIC THEORY; Introduction to Linear Models; Estimation and Inference In Simple Linear Models; REGRESSION MODELS; Transforming the Data and Miscellaneous Topics; Regression on Functions of Several Variables; Influential Observations in Multiple Linear Regression; Related Topics; ANALYSIS OF VARIANCE MODELS; Fixed Effect Models: I. Single-Factor Classification of Means; Fixed Effects Models: III; Nested Factors and General Structure; Mixed Effects Models: II.The AVE Method; Mixed Effects Models: III; Unbalanced Data; Appendices; References; Index.