Applied Multivariate Data Analysis: Volume 1: Regression and Experimental Design (Springer Texts in Statistics) (Hardcover)

by J. D. Jobson (Author) "As outlined in Chapter 1 the techniques of statistical inference usually require that assumptions be made regarding the sample data..." (more)
Key Phrases: test marketing data, effect coding approach, slope shifters, New York, Univariate Data Analysis, Data Appendix (more...)

Editorial Reviews

Review
"On the whole, this volume is an excellent compendium on the subject of statistics to serve as a textbook for a number of courses." (Zentralblatt fuer Mathematik)

Product Description
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.

Product Details

• Hardcover: 621 pages
• Publisher: Springer; Corrected edition (February 11, 1999)
• Language: English
• ISBN-10: 0387976604
• ISBN-13: 978-0387976600
• Product Dimensions: 9.4 x 6.1 x 1.7 inches
• Shipping Weight: 2.3 pounds (View shipping rates and policies)
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• Amazon.com Sales Rank: #932,755 in Books (See Bestsellers in Books)