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Applied Multivariate Data Analysis

By Jobson, J D

Applied Multivariate Data Analysis Medicine

Applied Multivariate Data Analysis

By Jobson, J D

Only 1 item left in stock
Description
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.
Product details
Edition:
1
Number of Pages:
732
Release Date:
1992-06-25
Publication Date:
1992-06-25
Publisher:
Springer New York
Languages:
Original: English
ISBN10:
0387978046
ISBN13:
9780387978048
GPSR Manufacturer Reference:
[email protected]
Weight:
1243 g
Height:
156 cm
Width:
234 cm
Thickness:
41 cm
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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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