Overview
- Essential text for graduate statistics courses and courses where linear models play a part
- Presents advanced research results and gives an overview of generalizations
- New edition has been extensivley revised and contains the latest results in the area
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Statistics (SSS)
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Table of contents(10 chapters)
About this book
Reviews
From the reviews of the third edition:
"The book contains a massive amount of useful results related to the world of linear models. … I find my life more comfortable when I have this book in my bookshelf while checking whether some results have appeared in the literature. … a natural source book for a student and researcher of linear models. … written with great care and, of course, with great skills under the leadership of Professor C. Radhakrishna Rao. This is a very useful book and the authors earn congratulations." (Simo Puntanen, International Statistical Review, Vol. 75 (3), 2007)
"The book gives an up-to-date and comprehensive account of the theory and applications of linear models along with a number of new results. Throughout its ten chapters as well as its appendices, it covers theoretical issues and practical applications that make it suitable and useful not only to students but also to researchers and consultants in statistics." (Vangelis Grigoroudis, Zentralblatt MATH, Vol. 1151, 2009)
"This book has two laudable strengths. First, the coverage of topics is vast and varied. Second, extensive material is included on many modern, cutting-edge directions. … The book would also function as an excellent reference for graduate students and researchers on classical and current developments in linear model theory." (Joseph Cavanaugh, Journal of the American Statistical Association, Vol. 104 (486), June, 2009)
Authors and Affiliations
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Department of Statistics, Pennsylvania State University, University Park, USA
C. Radhakrishna Rao
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Department of Mathematics & Statistics, Indian Institute of Technology, Kanpur, India
Shalabh
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Institut für Statistik, Ludwig-Maximilians-Universität, München, Germany
Helge Toutenburg, Christian Heumann
Bibliographic Information
Book Title: Linear Models and Generalizations
Book Subtitle: Least Squares and Alternatives
Authors: C. Radhakrishna Rao, Shalabh, Helge Toutenburg, Christian Heumann
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-3-540-74227-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-74226-5Published: 12 October 2007
Softcover ISBN: 978-3-642-09353-1Published: 20 November 2010
eBook ISBN: 978-3-540-74227-2Published: 15 October 2007
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 3
Number of Pages: XIX, 572
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Economic Theory/Quantitative Economics/Mathematical Methods, Probability and Statistics in Computer Science, Operations Research/Decision Theory