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Multivariate Analysis of Variance

flexible methodology for testing differences among means. This monograph considers the multivariate form of analysis of variance (MANOVA) and;

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Applied Manova and Discriminant Analysis

, Applied Discriminant Analysis, reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis. Thoroughly;

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Univariate and Multivariate General Linear Models

include the following: ANOVA and MANOVA models with and without restrictions, the GMANOVA model, the mixed MANOVA-GMANOVA model, the sum;

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Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate

ANOVA and MANOVA under potentially non-normal errors and heteroscedasticity; and an intuitive method of analyzing s x r contingency tables when;

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Applied Multivariate Research

encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path;

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

MANOVA (multivariate analysis of variance).;

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Methods of Multivariate Analysis

tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content. Each chapter contains exercises;

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Applied Multivariate Research

analysis, MANOVA, path analysis and structural equation modeling. This book is designed to provide full coverage of the wide range of multivariate;

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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

coefficients, MANOVA tests and discriminant functions studied in recent papers. It then introduces new areas of research in high-dimensional;

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Applied Multivariate Statistics for the Social Sciences

of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New;

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Applied Multivariate Statistics for the Social Sciences

of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half.The new edition features:

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Statistics with Power

and Two Way ANOVA and MANOVA. Statistics with Power also includes a class survey project which offers students the opportunity to apply;

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Business Statistics Using R

, exponential smoothing, univariate and multivariate analysis including ANOVA and MANOVA and more in this valuable reference for policy makers;

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Advanced Research Methods in Psychology

How do you perform a MANOVA? What is grounded theory? How do you draw up a repertory grid? These, and many other questions are addressed;

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Reading and Understanding Multivariate Statistics

, analysis of cross-classified data, logistic regression, multivariate an alysis of variance (MANOVA), discriminant analysis, and meta-analysis;

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Advanced Research Methods in Psychology

How do you perform a MANOVA? What is grounded theory? How do you draw up a repertory grid? These, and many other questions are addressed;

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Applied Statistics

in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic 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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Design and Analysis of Experiments

covers response surfaces, balanced incomplete block and hierarchical designs, ANOVA, ANCOVA, and MANOVA. Fortifying the theory and;

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Design and Analysis of Experiments

covers response surfaces, balanced incomplete block and hierarchical designs, ANOVA, ANCOVA, and MANOVA. Fortifying the theory and;

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Quantitative Research In Linguistics

of Variance (ANOVA) and MANOVA, and provides a brief introduction to statistical meta-analysis. A companion website allows readers to download crib;

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Affix Ordering Across Languages and Frameworks

This volume advances our understanding of how word structure in terms of affix ordering is organized;...

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IBM SPSS Statistics 25 Step by Step

multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate;

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Approaching Multivariate Analysis

;">ANOVA, MANOVA, ANCOVA

Applying statistics in behavioural research

range from basic techniques such as correlation and t-tests, to moderately advanced analyses such as multiple regression and MANOVA. The focus;

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JMP for Basic Univariate and Multivariate Statistics

-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) Advanced topics include;

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Applied Multivariate Statistics For The Social Sciences

its: - extensive applied coverage of MANOVA; - complete annotated control lines for every analysis; - emphasis on the assumptions underlying;

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