Applied Multivariate Statistical Analysis, Fourth Edition by Richard A. Johnson, Dean W. Wichern

By Richard A. Johnson, Dean W. Wichern

This marketplace major textual content is acceptable for classes that train statistical tools for describing and interpreting multivariate information in depts. of information, math, advertising, and within the organic, actual, and social sciences. The 4th variation makes extra broad use of SAS and SPSS output with an emphasis on interpretation. gains comprise extra workouts, facts units, and pictures to demonstrate issues. quite a few thoughts comparable to MANOVA and Discriminate research, Correspondence research, and Biplots are built-in extra completely.

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Extra info for Applied Multivariate Statistical Analysis, Fourth Edition

Example text

Consequently, the entries in this array specify the distance func­ tions. The a;k ' s cannot be arbitrary numbers; they must be such that the computed distance is nonnegative for every pair of points. ) Contours of constant distances computed from (1-22) and (1-23) are hyper­ ellipsoids. A hyperellipsoid resembles a football when p = 3; it is impossible to visualize in more than three dimensions. 19. 19 depicts a cluster of points whose center of gravity (sample mean) is indicated by the point Q.

No. (Oct"Fact. " 18. 422-435. " ( 1 990) 19. t , F. H. C. London: Academic 20. at3io(n1972)in Si, z219-234. e Characteristics in Flu­ 21. Con­2 (1996), 140--144. Statistical Science, 2, Applied Statistics, 40 Statistical Concepts and Methods. Statistical Methods for Research in the Natural Sci­ ences, Management Science, 38, Journal of the American Statistical Association, Sampling Techniques Experimental Designs Mathematical Geology, 2, The A merican Statisti­ cian, 43, Journal of Experimental Education, 43, Graphical Techniques for Multivariate Data.

In Chapter 3, we show how the closeness of points in n dimensions can be related to measures of association between the corresponding variables. 4 DATA DISPLAYS AND PICTORIAL REPRESENTATIONS The rapid development of powerful personal computers and workstations has led to a proliferation of sophisticated statistical software for data analysis and graph­ ics. It is often possible, for example, to sit at one ' s desk and examine the nature of multidimensional data with clever computer-generated pictures.

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Applied Multivariate Statistical Analysis, Fourth Edition by Richard A. Johnson, Dean W. Wichern
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