Name: Applied Regression Analysis and Experimental Design (Statistics: A Series of Textbooks and Monographs) (en Inglés)
Price: 2049.29 MXN
Availability: InStock
Author: Brook Richard J. And Gregory C. Arnold:
ISBN: 9780824772529

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portada Applied Regression Analysis and Experimental Design (Statistics: A Series of Textbooks and Monographs) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Brook Richard J. And Gregory C. Arnold:

Idioma

Inglés

N° páginas

252

Encuadernación

Tapa Dura

ISBN13

9780824772529

N° edición

Applied Regression Analysis and Experimental Design (Statistics: A Series of Textbooks and Monographs) (en Inglés)

Brook Richard J. And Gregory C. Arnold: (Autor) · Crc Press · Tapa Dura

Libro Físico

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Reseña del libro "Applied Regression Analysis and Experimental Design (Statistics: A Series of Textbooks and Monographs) (en Inglés)"

For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis of experiments and provides students with the practical understanding needed to apply theory in real data analysis problems.Stressing principles while keeping computational and theoretical details at a manageable level, Applied Regression Analysis and Experimental Design features an emphasis on vector geometry and least squares to unify and provide an intuitive basis for most topics covered... abundant examples and exercises using real-life data sets clearly illustrating practical of data analysis...essential exposure to MINITAB and GENSTAT computer packages, including computer printouts...and important background material such as vector and matrix properties and the distributional properties of quadratic forms.Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.