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Applied Multivariate Data Analysis Regression and Experimental Design
Author
Title
Applied Multivariate Data Analysis [electronic resource] : Regression and Experimental Design / by J. D. Jobson.
ISBN
9781461209553
Published
New York, NY : Springer New York : Imprint: Springer, 1991.
Physical Description
1 online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 28, 2013
Series
Springer Texts in Statistics,
Subjects
Also listed under
SpringerLink (Online service)
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