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

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Synopses & Reviews

Publisher Comments:

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

ISBN:
9781461269601
Author:
Jobson, J. D.
Publisher:
Springer
Location:
New York, NY
Subject:
Statistics
Subject:
Statistics for Business/Economics/Mathematical Finance/Insurance
Subject:
Statistics for Life Sciences, Medicine, Health Sciences
Subject:
Mathematics - Statistics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Economics_xStatistics
Copyright:
Edition Description:
Softcover reprint of the original 1st ed. 1991
Series:
Springer Texts in Statistics
Publication Date:
20121231
Binding:
TRADE PAPER
Language:
English
Pages:
647
Dimensions:
235 x 155 mm

Related Subjects

Business » General
Business » Management
Business » Writing
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Chemistry » Physical Chemistry
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Applied Multivariate Data Analysis: Regression and Experimental Design (Springer Texts in Statistics) New Trade Paper
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