Bilinear Regression Analysis : An Introduction Paperback / softback
by Dietrich von Rosen
Part of the Lecture Notes in Statistics series
Paperback / softback
Description
This book expands on the classical statistical multivariate analysis theory by focusing on bilinear regression models, a class of models comprising the classical growth curve model and its extensions.
In order to analyze the bilinear regression models in an interpretable way, concepts from linear models are extended and applied to tensor spaces.
Further, the book considers decompositions of tensor products into natural subspaces, and addresses maximum likelihood estimation, residual analysis, influential observation analysis and testing hypotheses, where properties of estimators such as moments, asymptotic distributions or approximations of distributions are also studied.
Throughout the text, examples and several analyzed data sets illustrate the different approaches, and fresh insights into classical multivariate analysis are provided.
This monograph is of interest to researchers and Ph.D. students in mathematical statistics, signal processing and other fields where statistical multivariate analysis is utilized.
It can also be used as a text for second graduate-level courses on multivariate analysis.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:468 pages, 42 Illustrations, black and white; XIII, 468 p. 42 illus.
- Publisher:Springer International Publishing AG
- Publication Date:03/08/2018
- Category:
- ISBN:9783319787824
Information
-
Out of stock
- Format:Paperback / softback
- Pages:468 pages, 42 Illustrations, black and white; XIII, 468 p. 42 illus.
- Publisher:Springer International Publishing AG
- Publication Date:03/08/2018
- Category:
- ISBN:9783319787824
