9781292024943 Johnson

(e-Book) Applied Multivariate Statistical Analysis: Pearson New International Edition 6th Edition (12 Months Digital Access) – Johnson


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Product Description

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.

Table of Content

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Chapter 1: Aspects of Multivariate Analysis
Chapter 2: Sample Geometry and Random Sampling
Chapter 3: 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
Selected Additional References for Model Based Clustering
Table 1: Standard Normal Probabilities
Table 2: Student’s T-Distribution Percentage Points
Table 3: X2 Distribution Percentage Points
Table 4: F-Distribution Percentage Points (α = 10)
Table 5: F-Distribution Percentage Points (α = .05)
Table 6: F-Distribution Percentage Points (α = .01)