Linear Models : Least Squares and Alternatives (Springer Series in Statistics)

Linear Models : Least Squares and Alternatives (Springer Series in Statistics)

Editorial Reviews
Book Description
Provides a current account of the theory and applications of linear models. Presents a unified theory of inference from linear models with minimal assumptions through least squares theory, and using alternative methods of estimation and testing based on convex loss functions and general estimating equations. DLC: Linear models (Statistics).

Book Info
Provides a current account of the theory and applications of linear models. Presents a unified theory of inference from linear models with minimal assumptions through least squares theory, and using alternative methods of estimation and testing based on convex loss functions and general estimating equations. DLC: Linear models (Statistics).

Linear Models (Springer Series in Statistics),C. Radhakrishna Rao,Helge Toutenburg,Springer,0387988483,Linear models (Statistics),Mathematical Statistics,Mathematics,Probability & Statistics - General,Science/Mathematics,Linear Models,Mathematical modelling,Mathematics / Statistics,Probability & statistics

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