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Multivariate Analysis of Variance

Analysis of variance (ANOVA) is one of the most frequently employed statistical techniques in the social sciences because it provides a;

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A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics

, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and;

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Multivariate Analysis of Variance and Repeated Measures

This book describes a practical aproach to univariate and multivariate analysis of variance. It starts with a general non-mathematical;

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Applied Multivariate Analysis

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;

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Reading and Understanding Multivariate Statistics

that must be met for the analysis to be meaningful. The most commonly used multivariate techniques are examined in detail: multiple regression;

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Ranking of Multivariate Populations

designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized;

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Statistical Tests for Mixed Linear Models

treatment for these models at an advanced level. Statistical Tests for Mixed Linear Models:* Combines analysis and testing in one self-contained;

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Multivariate Analysis for the Biobehavioral and Social Sciences

An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for;

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Analysis of Repeated Measures

statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate;

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Analysis of Repeated Measures

statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate;

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Data Analysis Using SAS Enterprise Guide

, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to;

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Data Analysis Using SAS Enterprise Guide

, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to;

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The Essence of Multivariate Thinking

regression, analysis of covariance, multivariate analysis of variance, discriminant function analysis, logistic regression, canonical correlation;

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JMP for Basic Univariate and Multivariate Statistics

of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll;

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Cambridge Manuals in Archaeology

); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster;

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Levine's Guide to SPSS for Analysis of Variance

the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11;

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Levine's Guide to SPSS for Analysis of Variance

the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11;

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Multivariate Time Series Analysis and Applications

field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;

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Quantitative Methods in Archaeology Using R

); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster;

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A Course on Statistics for Finance

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The;

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A Course on Statistics for Finance

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The;

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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis;

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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis;

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Multivariate Analysis with LISREL

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the;

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The Analysis of Variance

Classics Series, the book examines the basic theory of analysis of variance by considering several different mathematical models. Part I looks at;

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The Essence of Multivariate Thinking

edition features: New SEM chapters including an introduction (ch.10), path analysis (ch.11), confirmatory factor analysis (ch.12;

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The Essence of Multivariate Thinking

edition features: New SEM chapters including an introduction (ch.10), path analysis (ch.11), confirmatory factor analysis (ch.12;

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