Development of a PC Program for Multivariate Statistical Analysis

Pham Ngoc Son; Cao Dong Vu; Mai Quynh Anh

doi:10.15625/0868-3166/27/4/10499

Development of a PC Program for Multivariate Statistical Analysis

Pham Ngoc Son, Cao Dong Vu, Mai Quynh Anh

Author affiliations

Authors

Pham Ngoc Son
Cao Dong Vu Nuclear Research Institute, 1 Nguyen Tu Luc, Dalat, Vietnam
Mai Quynh Anh Nuclear Research Institute, 1 Nguyen Tu Luc, Dalat, Vietnam

DOI:

https://doi.org/10.15625/0868-3166/27/4/10499

Keywords:

multivariate data analysis, principle component analysis

Abstract

This report introduces a new computer program, having been developed initially at the Nuclear Research Institute at Dalat, for the multivariate data analysis techniques. In this preliminary version of the program, the size of a given data set to be analyzed is up to 50 variables and thousand observations, and can be used to perform some of the multivariate data analysis techniques such as principle component analysis, cluster analysis and data standardization. In comparison with other statistical analysis software, the same results are highly reproduced with MSAP.

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References

. Alvin Rencher C 2002 Methods of Multivariate Analysis, 2 End, WILEY-INTERSCIENCE, A JOHN WILEY & SONS, INC. PUBLICATION, ISBN 0-471-41889-7

. Wolfgang Hardle and Leopold Simar 2003 Applied Multivariate Statistical Analysis, version 29th, MD-TECH DOI: https://doi.org/10.1007/978-3-662-05802-2

. Anton Buhagiar 2002 Exploration and reduction of data using principal component analysis, Malta Medical Journal Volume 14 Issue 01

. Pedro Delicado 1998 Statistics in Archaeology: New directions, Computer Applications in Archaeology meeting (CAA'98).

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Published

13-12-2017

How to Cite

[1]

P. N. Son, C. D. Vu, and M. Q. Anh, “Development of a PC Program for Multivariate Statistical Analysis”, Comm. Phys., vol. 27, no. 4, p. 291, Dec. 2017.

IEEE

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Vol. 27 No. 4 (2017)

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Papers

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