Multivariate analysis

288 titles from eBooks.com

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DRM

Multiple Correspondence Analysis and Related Methods

As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a...

Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition

Measurement Error in Nonlinear Models (2nd ed.)

A Modern Perspective, Second Edition

It’s been over a decade since the first edition of Measurement Error in Nonlinear Models splashed...

Longitudinal Data Analysis

Although many books currently available describe statistical models and methods for analyzing...

Multiple Comparisons Using R
CRC Press (2016)
US$57.95

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the...

Data Clustering: Algorithms and Applications

Data Clustering

Algorithms and Applications

Research on the problem of clustering tends to be fragmented across the pattern recognition,...

Constrained Principal Component Analysis and Related Techniques
CRC Press (2016)
US$98.95

In multivariate data analysis, regression techniques predict one set of variables from another while...

Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling

Generalized Structured Component Analysis

A Component-Based Approach to Structural Equation Modeling

Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of Japan ...

Spatiotemporal Data Analysis
Princeton University Press (2011)
US$95.55

A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How...

Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences

Chemometrics with R

Multivariate Data Analysis in the Natural Sciences and Life Sciences

Springer Berlin Heidelberg (2011)
US$109.00

This accessible primer on multivariate statistics in the life sciences gives a full description of...

Models for Discrete Longitudinal Data
Springer New York (2006)
US$159.00

The linear mixed model has become the main parametric tool for the analysis of continuous...