TY  - BOOK
AU  - Johnson,Richard
AU  - Wichern,Dean
TI  - Applied multivariate statistical analysis
SN  - 9781292024943
U1  - 519.535 21
PY  - 2014///
CY  - Edinburgh Gate
PB  - Pearson
KW  - ANALISIS MULTIVARIANTE
KW  - ANALISIS ESTADISTICO
KW  - ANALISIS MULTICRITERIO
N1  - 1. Aspects of multivariate analysis -- 2. Sample geometry and random sampling -- 3. Matrix algebra and random vectors -- 4. The multivariate normal distribution -- 5. Inferences about a mean vector -- 6. Comparisons of several multivariate means -- 7. Multivariate linear regressions models -- 8. Principal components -- 9. Factor analysis and inference for structured covariance matrices -- 10. Canonical correlation analysis -- 11. Discrimination and classification -- 12. Clustering, distance methods and ordination -- Appendix
N2  - For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite
ER  -