Name: Bilinear Regression Analysis: An Introduction (Lecture Notes in Statistics) (en Inglés)
SKU: 51035970
Price: 76.62 USD
Availability: InStock
Author: Dietrich Von Rosen

portada Bilinear Regression Analysis: An Introduction (Lecture Notes in Statistics) (en Inglés)

Bilinear Regression Analysis: An Introduction (Lecture Notes in Statistics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Dietrich Von Rosen

Año

2018

Idioma

Inglés

N° páginas

484

Encuadernación

Tapa Blanda

ISBN13

9783319787824

N° edición

Categorías

Álgebra

Bilinear Regression Analysis: An Introduction (Lecture Notes in Statistics) (en Inglés)

Dietrich Von Rosen (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 153.24$ 76.62

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 76.62

Llega entre el 16 Sep y el 29 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Bilinear Regression Analysis: An Introduction (Lecture Notes in Statistics) (en Inglés)"

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.