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

Linear Models and Generalizations

Least Squares and Alternatives

    • 84,99 €
    • 84,99 €

Descrizione dell’editore

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.

GENERE
Scienza e natura
PUBBLICATO
2007
15 ottobre
LINGUA
EN
Inglese
PAGINE
591
EDITORE
Springer Berlin Heidelberg
DATI DEL FORNITORE
Springer Science & Business Media LLC
DIMENSIONE
6,9
MB
The Elements of Statistical Learning The Elements of Statistical Learning
2009
Change Point Analysis for Time Series Change Point Analysis for Time Series
2024
Ten Projects in Applied Statistics Ten Projects in Applied Statistics
2023
Statistical Foundations, Reasoning and Inference Statistical Foundations, Reasoning and Inference
2021
Linear and Generalized Linear Mixed Models and Their Applications Linear and Generalized Linear Mixed Models and Their Applications
2021
An Introduction to Sequential Monte Carlo An Introduction to Sequential Monte Carlo
2020