Methods and Applications of Linear Models
John Wiley & Sons Inc
978-0-471-59282-2 (ISBN)
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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.
Ronald R. Hocking is Professor Emeritus in the Department of Statistics at Texas A&M University. He received his PhD in mathematics and statistics and is a Fellow of the American Statistical Association.
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.
Erscheint lt. Verlag | 23.7.1996 |
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Reihe/Serie | Wiley Series in Probability & Mathematical Statistics: Applied Probability & Statistics |
Zusatzinfo | Illustrations |
Verlagsort | New York |
Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 1219 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Algebra |
Mathematik / Informatik ► Mathematik ► Analysis | |
ISBN-10 | 0-471-59282-X / 047159282X |
ISBN-13 | 978-0-471-59282-2 / 9780471592822 |
Zustand | Neuware |
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