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Multivariate Statistics Old School : Mathematical and Methodological Introduc...

Description: Multivariate Statistics Old School : Mathematical and Methodological Introduction to Multivariate Statistical Analytics, Paperback by Marden, John I., ISBN 1456538837, ISBN-13 9781456538835, Used Good Condition, Free shipping in the US Multivariate Statistics: Old School is a mathematical and methodological introduction to multivariate statistical analysis. It presents the basic mathematical grounding that graduate statistics students need for future research, and important multivariate techniques useful to statisticians in general. The material provides support for further study in big data and machine learning. Topics include The multivariate normal and Wishart distributions Linear models, including multivariate regression and analysis of variance, and both-sides models (GMANOVA, repeated measures, growth curves)Linear algebra useful for multivariate statistics Covariance structures, including principal components, factor analysis, independence and conditional independence, and symmetry modelsClassification (linear and quadratic discrimination, trees, logistic regression)Clustering (K-means, model-based, hierarchical) Other techniques, including biplots, canonical correlations, and multidimensional scalingMost of the analyses in th use the statistical computing environment R, for which there is an available package (msos) of multivariate routines and data sets. This text was developed over many years by the author, John Marden, while teaching in the Department of Statistics, University of Illinois at Urbana-Champaign.

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Multivariate Statistics Old School : Mathematical and Methodological Introduc...Multivariate Statistics Old School : Mathematical and Methodological Introduc...Multivariate Statistics Old School : Mathematical and Methodological Introduc...

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Book Title: Multivariate Statistics Old School : Mathematical and Methodologi

Number of Pages: 358 Pages

Publication Name: Multivariate Statistics: Old School : Mathematical and Methodological Introduction to Multivariate Statistical Analytics, Including Linear Models, Principal Components, Covariance Structures, Classification, and Clustering, Providing Background for Machine Learning and Big Data Study, with R

Language: English

Publisher: CreateSpace

Item Height: 0.8 in

Publication Year: 2015

Subject: Probability & Statistics / Multivariate Analysis, General

Item Weight: 21.7 Oz

Type: Textbook

Subject Area: Mathematics

Author: John Marden

Item Length: 9 in

Item Width: 6 in

Format: Trade Paperback

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