Applied Multivariate Data Analysis - Volume II: Categorical and Multivariate Methods (Paperback, Softcover reprint of the original 1st ed. 1992)

A Second Course in Statistics The past decade has seen a tremendous increase in the use of statistical data analysis and in the availability of both computers and statistical software. Business and government professionals, as well as academic researchers, are now regularly employing techniques that go far beyond the standard two-semester, introductory course in statistics. Even though for this group of users shorl courses in various specialized topics are often available, there is a need to improve the statistics training of future users of statistics while they are still at colleges and universities. In addition, there is a need for a survey reference text for the many practitioners who cannot obtain specialized courses. With the exception of the statistics major, most university students do not have sufficient time in their programs to enroll in a variety of specialized one-semester courses, such as data analysis, linear models, experimental de sign, multivariate methods, contingency tables, logistic regression, and so on. There is a need for a second survey course that covers a wide variety of these techniques in an integrated fashion. It is also important that this sec ond course combine an overview of theory with an opportunity to practice, including the use of statistical software and the interpretation of results obtained from real data.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	March 2013
First published:	1992
Authors:	J.D. Jobson
Dimensions:	235 x 155 x 38mm (L x W x T)
Format:	Paperback
Pages:	732
Edition:	Softcover reprint of the original 1st ed. 1992
ISBN-13:	978-1-4612-6947-2
Categories:	Books > Medicine > General issues > General Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-4612-6947-4
Barcode:	9781461269472

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