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Analysis of Variance Designs

ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other;

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Fundamentals of Exploratory Analysis of Variance

analysis produces. The technical level is not advanced and therefore serves as an introduction to ANOVA. The material is self-contained and;

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Advanced Linear Models

model, the analysis of variance model, the analysis of covariance model, and the variance components model.;

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Advanced Analysis of Variance

advanced techniques for the statistical analysis of experimental data. Dr. Hirotsu introduces the groundbreaking concept of advanced analysis;

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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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Advanced Statistics for Kinesiology and Exercise Science

Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the;

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Advanced Statistics for Kinesiology and Exercise Science

Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the;

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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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Data Analysis For Research Designs

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression;

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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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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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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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Statistical Data Analysis Using SAS

sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a;

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Business Statistics

to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered;

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A Student's Guide to Analysis of Variance

courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis;

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Analysis of Variance and Covariance

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;

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Analysis Of Variance & Covariance

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;

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Statistical Modeling For Biomedical Researchers

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the;

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Statistical Modeling for Biomedical Researchers

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the;

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Mean-Variance Analysis in Portfolio Choice and Capital Markets

are used in a few advanced portfolio optimization programs, the solution to the general problem should not be seen merely as a computing;

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Digital Spectral Analysis

estimators. Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time;

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Experiments in Ecology

book, first published in 1996, describes how to design ecological experiments from a statistical basis using analysis of variance, so that we;

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Experiments in Ecology

book, first published in 1996, describes how to design ecological experiments from a statistical basis using analysis of variance, so that we;

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