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Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Meth

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Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
ISBN
9780387978048
Subject Area
Mathematics, Business & Economics, Medical
Publication Name
Applied Multivariate Data Analysis Vol. 2 : Categorical and Multivariate Methods
Publisher
Springer New York
Item Length
9.3 in
Subject
Biostatistics, Probability & Statistics / Multivariate Analysis, Applied, Statistics
Publication Year
1992
Series
Springer Texts in Statistics Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
J. D. Jobson
Item Weight
96.7 Oz
Item Width
6.1 in
Number of Pages
Xxix, 732 Pages

About this product

Product Identifiers

Publisher
Springer New York
ISBN-10
0387978046
ISBN-13
9780387978048
eBay Product ID (ePID)
128304

Product Key Features

Number of Pages
Xxix, 732 Pages
Language
English
Publication Name
Applied Multivariate Data Analysis Vol. 2 : Categorical and Multivariate Methods
Subject
Biostatistics, Probability & Statistics / Multivariate Analysis, Applied, Statistics
Publication Year
1992
Type
Textbook
Subject Area
Mathematics, Business & Economics, Medical
Author
J. D. Jobson
Series
Springer Texts in Statistics Ser.
Format
Hardcover

Dimensions

Item Weight
96.7 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Reviews
"On the whole this volume on applied multivariate data analysis is a comprehensive treatise which will support students and teachers to a full extent in their coursework and researchers will find an easy ready-made material for the analysis of their multivariate data to arrive at correct conclusions. This is a masterpiece text." (Zentralblatt fuer Mathematik)
Number of Volumes
1 vol.
Illustrated
Yes
Synopsis
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 d ta., 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 däta.
LC Classification Number
T57-57.97

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