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Multivariate Applications in the Social Sciences

First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.;...

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Multivariate Analysis for the Biobehavioral and Social Sciences

the Biobehavioral and Social Sciences: A Graphical Approach outlines the essential multivariate methods for understanding data in the social;

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Mathematical Tools for Applied Multivariate Analysis

current in the social and behavioral sciences, statistics, and mathematics* Can be used either as a stand-alone text or a supplement to a;

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Applied Multivariate Analysis

contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences;

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Longitudinal Multivariate Psychology

time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social;

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Longitudinal Multivariate Psychology

time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social;

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Applied Multivariate Research

This book provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences;

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Applied Multivariate Analysis

areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to;

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Applied Univariate, Bivariate, & Multivariate Stat istics

AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND NATURAL SCIENCES This revised and updated second edition;

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Applied Multivariate Research: Design and Interpretation

Provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter;

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Advanced Studies in Classification and Data Science

, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical;

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Multivariate Analysis Techniques in Social Science Research

in the social sciences, it demonstrates how to make the most appropriate choice of technique. The examples are drawn from a broad spectrum;

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Univariate and Multivariate General Linear Models

sets from a variety of disciplines, such as the social and behavioral sciences. With revised examples that include options available using;

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Univariate and Multivariate General Linear Models

sets from a variety of disciplines, such as the social and behavioral sciences. With revised examples that include options available using;

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Multivariate and Mixture Distribution Rasch Models

This book examines extensions of the Rasch model, one of the most researched and applied models in educational research and social science;

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Applied Multivariate Research

Today, through the sophistication of statistical software packages such as SPSS, virtually all graduate students across the social and;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data;

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An Introduction to Applied Multivariate Analysis

behavioral, social, and educational sciences. Analogies between the already familiar univariate statistics and multivariate statistics are emphasized;

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Statistical Inference For Models With Multivariate T-Distrib

the development of linear statistical models with applications to engineering, the physical sciences, and mathematics * Contains an up-to-date;

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Discrete Multivariate Distributions

science, engineering, medicine, and the biological sciences.;

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Ranking of Multivariate Populations

postgraduate students in statistics and the applied sciences, this application-oriented book offers a practical guide to the reliable global ranking;

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The Essence of Multivariate Thinking

is now used more frequently in the social sciences. More emphasis on significance tests, effect sizes, and confidence intervals to;

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The Essence of Multivariate Thinking

is now used more frequently in the social sciences. More emphasis on significance tests, effect sizes, and confidence intervals to;

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Multivariate Analysis

interdisciplinary applications to recognize trends, patterns, relations and dependencies, in the fields of engineering, sciences and management and to serve;

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Modern Statistical Methods for Spatial and Multivariate Data

on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and;

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