Linear Models and Generalizations Least Squares and Alternatives
Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level
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Springer Series in Statistics Alho/Spencer: Statistical Demography and Forecasting. Andersen/Borgan/Gill/Keiding: Statistical Models Based on Counting Processes. Arnold/Castillo/Sarabia: Conditional Specification of Statistical Models. Atkinson/Riani/Cerioli: Exploring Multivariate Data with the Forward Search. Atkinson/Riani: Robust Diagnostic Regression Analysis. Berger: Statistical Decision Theory and Bayesian Analysis. Borg/Groenen: Modern Multidimensional Scaling. Bremaud: Point Processes and Queues: Martingale Dynamics. Brockwell/Davis: Time Series: Theory and Methods. Bucklew: Introduction to Rare Event Simulation. Cappé/Moulines/Ryden: Inference in Hidden Markov Models. Chan/Tong: Chaos: A Statistical Perspective. Chen/Shao/Ibrahim: Monte Carlo Methods in Bayesian Computation. Coles: An Introduction to Statistical Modeling of Extreme Values. David/Edwards: Annotated Readings in the History of Statistics. Devroye/Lugosi: Combinatorial Methods in Density Estimation. Diggle/Ribeiro: Model-based Geostatistics. Dudoit/van der Laan: Multiple Testing Procedures with Applications to Genomics. Dzhaparidze: Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series. Efromovich: Nonparametric Curve Estimation. Eggermont/LaRiccia: Maximum Penalized Likelihood Estimation · Volume I. Fahrmeir/Tutz: Multivariate Statistical Modelling Based on Generalized Linear Models. Fan/Yao: Nonlinear Time Series. Farebrother: Fitting Linear Relationships. Ferraty/Vieu: Nonparametric Functional Data Analysis. Ferreira/Lee: Multiscale Modeling. Fienberg/Hoaglin: Selected Papers of Frederick Mosteller. Frühwirth-Schnatter: Finite Mixture and Markov Switching Models. Ghosh/Ramamoorthi: Bayesian Nonparametrics. Glaz/Naus/Wallenstein: Scan Statistics. Good: Permutation, Paramatric, and Bootstrap Tests of Hypotheses. Gourieroux: ARCH Models and Financial Applications. Gu: Smoothing Spline ANOVA Models. Györfi/Kohler: A Distribution-Free Theory of Nonparametric Regression. Habermann/Krzyzak/Walk: Advanced Statistics. Hall: The Bootstrap and Edgeworth Expansion. Harrell: Regression Modeling Strategies. Hart: Nonparametric Smoothing and Lack-of-Fit Tests. Hastie/Tibshirani/Friedman: The Elements of Statistical Learning. (continued after index)
C. Radhakrishna Rao Helge Toutenburg Shalabh Christian Heumann
Linear Models and Generalizations Least Squares and Alternatives Third Extended Edition With Contributions by Michael Schomaker
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Professor C. Radhakrishna Rao Department of Statistics 326 Thomas Building Pennsylvania State University University Park, PA 16802 USA [email protected]
Dr. Shalabh Department of Mathematics & Statistics Indian Institute of Technology Kanpur − 208016 India [email protected]
Professor Helge Toutenburg Institut für Statistik Ludwig-Maximilians-Universität Akademiestraße 1 80799 München Germany helge.toutenburg@ stat.uni-muenchen.de
Dr. Christian Heumann Institut für Statistik Ludwig-Maximilians-Universität Akademiestraße 1 80799 München Germany [email protected]
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