Linear Models and Generalizations Linear Models and Generalizations
Springer Series in Statistics

Linear Models and Generalizations

Least Squares and Alternatives

C. Radhakrishna Rao and Others
    • $109.99
    • $109.99

Publisher Description

Third Edition explores the theory and applications of linear models. It presents a unified theory of inference from linear models and its generalizations with minimal assumptions, using least squares theory and alternative methods of estimation and testing.

GENRE
Science & Nature
RELEASED
2007
October 15
LANGUAGE
EN
English
LENGTH
591
Pages
PUBLISHER
Springer Berlin Heidelberg
SELLER
Springer Nature B.V.
SIZE
6.9
MB

More Books Like This

Advanced Linear Modeling Advanced Linear Modeling
Advanced Linear Modeling
2019
Advances on Theoretical and Methodological Aspects of Probability and Statistics Advances on Theoretical and Methodological Aspects of Probability and Statistics
Advances on Theoretical and Methodological Aspects of Probability and Statistics
2019
Generalized Linear Models Generalized Linear Models
Generalized Linear Models
2019
Asymptotic Analysis of Mixed Effects Models Asymptotic Analysis of Mixed Effects Models
Asymptotic Analysis of Mixed Effects Models
2017
Linear Models and Regression with R Linear Models and Regression with R
Linear Models and Regression with R
2019
Statistical Inference Based on the likelihood Statistical Inference Based on the likelihood
Statistical Inference Based on the likelihood
2017

Other Books in This Series

The Elements of Statistical Learning The Elements of Statistical Learning
The Elements of Statistical Learning
2009
Regression Modeling Strategies Regression Modeling Strategies
Regression Modeling Strategies
2015
Forecasting with Exponential Smoothing Forecasting with Exponential Smoothing
Forecasting with Exponential Smoothing
2008
An Introduction to Sequential Monte Carlo An Introduction to Sequential Monte Carlo
An Introduction to Sequential Monte Carlo
2020
Simulation and Inference for Stochastic Differential Equations Simulation and Inference for Stochastic Differential Equations
Simulation and Inference for Stochastic Differential Equations
2009
Permutation, Parametric, and Bootstrap Tests of Hypotheses Permutation, Parametric, and Bootstrap Tests of Hypotheses
Permutation, Parametric, and Bootstrap Tests of Hypotheses
2006