Multivariate Techniques: An Example Based Approach

✍ Scribed by Saman Hanif Shahbaz Muhammad Hanif, Muhammad Qaiser Shahbaz

Publisher: Cambridge Scholars Publishing
Year: 2019
Tongue: English
Leaves: 276
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Multivariate analyses are popular in many areas of life and require special attention. This book covers both theoretical and applied aspects of such analyses. It begins with an overview of multivariate terminology, including joint distributions and some matrix algebra, and provides insight into various popular multivariate distributions. It discusses various methods of drawing inferences about population mean vectors and covariance matrices, as well as a number of topics on multivariate analysis of variance and multivariate regression.

✦ Table of Contents

Dedications
Contents
Preface
1 Introduction
2 The Multivariate Normal Distribution
3 The Wishart and Related Distributions
4 Inference about Mean Vectors
5 Inference about Covariance Matrices
6 The Multivariate Analysis of Variance
7 Multivariate Regression Analysis
8 Canonical Correlation Analysis
9 Principal Components and Factor Analysis
References

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