Applied multivariate statistical analysis [Elektronisk resurs] / Richard A. Johnson, Dean W. Wichern.

• Chapter 1. Aspects of Multivariate Analysis Chapter 3. Sample Geometry and Random Sampling Chapter 2. Matrix Algebra and Random Vectors Chapter 4. The Multivariate Normal Distribution Chapter 5. Inferences About a Mean Vector Chapter 6. Comparisons of Several Multivariate Means Chapter 7. Multivariate Linear Regression Models Chapter 8. Principal Components Chapter 9. Factor Analysis and Inference for Structured Covariance Matrices Chapter 10. Canonical Correlation Analysis Chapter 11. Discrimination and Classification Chapter 12. Clustering, Distance Methods and Ordination. 

• 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. 

Ämnesord

Multivariat analys  (sao)

Multivariate analyse.  (LCSH)

Multivariate analysis  (LCSH)

Genre

Electronic books.  (LCSH)

Klassifikation

QA278 (LCC)

519.535 (DDC)

Thic (kssb/8 (machine generated))