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Bilinear Regression Analysis

By Rosen, Dietrich von

Product Image: Bilinear Regression Analysis

Bilinear Regression Analysis

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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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
484
Release Date:
2018-08-03
Publication Date:
2018-08-03
Publisher:
Springer
Languages:
Original: English
ISBN10:
3319787829
ISBN13:
9783319787824
GPSR Manufacturer Reference:
[email protected]
Weight:
727 g
Height:
155 cm
Width:
235 cm
Thickness:
27 cm
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