Applied Multivariate Data Analysis

Volume 1: Regression and Experimental Design

J.D. Jobson - Collection Springer texts in statistics

622 pages, parution le 01/01/1991

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Résumé

An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.

Sommaire

Introduction
Univariate Data Analysis
Bivariate Analysis for Qualitative Random Variables
Multiple Linear Regression
Analysis for Variance and Experimental Design
Appendix

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	J.D. Jobson
Collection	Springer texts in statistics
Parution	01/01/1991
Nb. de pages	622
Format	15,5 x 24
Couverture	Relié
Poids	1040g
Intérieur	Noir et Blanc
EAN13	9780387976600
ISBN13	978-0-387-97660-0