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1
Applied multivariate statistical analysis / Wolfgang Härdle; Léopold Simar
New York : Springer, 2015
581 pages. : illustrations
Ký hiệu phân loại (DDC): 519.535
Most of the observable phenomena in the empirical sciences are of a multivariate nature.¡ In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices.¡ In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication.¡ In quantitative marketing consumer preferences are
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2
Data reduction and error analysis for the physical sciences / Philip R Bevington; D Keith Robinson
New York : McGraw-Hill, 1992
328 p. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 511.43
Designed as a laboratory companion, student textbook or reference book for professional scientists, this book provides an introduction to the techniques of data analysis and error reduction. Coverage of computer techniques has been enhanced since the first edition.
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3
Discrete multivariate analysis :Theory and practice /[by] Yvonne M. M. Bishop, Stephen E. Fienberg and Paul W. Holland. With the collaboration of Richard J. Light and Frederick Mosteller.
Cambridge, Mass., : MIT Press, [1975]
x, 557 p. : illus. ; 26 cm.
Ký hiệu phân loại (DDC): 519.5
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4
Exploratory analysis of spatial and temporal data : a systematic approach / Natalia Andrienko, Gennady Andrienko
Berlin ; New York : Springer, 2006
716 p.
Ký hiệu phân loại (DDC): 005.75
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5
Multivariate data analysis / Joseph F. Hair...[et al]
Andover, Hampshire : Cengage, 2019
xvii, 813 pages. : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 519.535
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.
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