Shortcuts
Please wait while page loads.
SISSA Library . Default .
PageMenu- Main Menu-
Page content

Catalogue Display

Plane Answers to Complex Questions: The Theory of Linear Models

Plane Answers to Complex Questions: The Theory of Linear Models
Catalogue Information
Field name Details
Dewey Class 519.535
Title Plane Answers to Complex Questions (EB) : The Theory of Linear Models / by Ronald Christensen.
Author Christensen, Ronald
Other name(s) SpringerLink (Online service)
Edition statement 4th edition
Publication New York, NY : Springer , 2011.
Physical Details XXII, 494 pages : online resource.
Series Springer Texts in Statistics 1431-875X
ISBN 9781441998163
Summary Note This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make it ideal for a graduate-level course. All of the standard topics are covered in depth: ANOVA, estimation including Bayesian estimation, hypothesis testing, multiple comparisons, regression analysis, and experimental design models. In addition, the book covers topics that are not usually treated at this level, but which are important in their own right: balanced incomplete block designs, testing for lack of fit, testing for independence, models with singular covariance matrices, variance component estimation, best linear and best linear unbiased prediction, collinearity, and variable selection. This new edition includes a more extensive discussion of best prediction and associated ideas of R2, as well as new sections on inner products and perpendicular projections for more general spaces and Milliken and Graybillâs generalization of Tukeyâs one degree of freedom for nonadditivity test.:
Contents note Introduction -- Estimation -- Testing -- One-Way ANOVA -- Multiple Comparison Techniques -- Regression Analysis -- Multifactor Analysis of Variance -- Experimental Design Models -- Analysis of Covariance -- General Gauss-Markov Models -- Split Plot Models -- Mixed Models and Variance Components -- Model Diagnostics -- Variable Selection -- Collinearity and Alternative Estimates.-.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-1-4419-9816-3
Links to Related Works
Subject References:
Authors:
Corporate Authors:
Series:
Classification:
Catalogue Information 28137 Beginning of record . Catalogue Information 28137 Top of page .

Reviews


This item has not been rated.    Add a Review and/or Rating28137
Quick Search