Opis
This text provides an up-to-date account of the theory and applications of linear models. The authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations.; Topics include: sensitivity analysis and model selection; analysis of categorical data based on logic, loglinear and logistic regression models; incomplete data sets; matrix theory; neural networks; and details of software available for the models covered throughout the book.
Szczegóły książki
Format
Kindle
Strony
444 stron
Język
Angielski
Opublikowany
maj 14, 2014
Wydawca
Springer
Wydania
Wydania: 2
ISBN-10
0387227520
ISBN-13
9780387227528