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Introducing Anova and Ancova

Traditional approaches to ANOVA and ANCOVA are now being replaced by a General Linear Modeling (GLM) approach. This book begins with a;

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ANOVA and ANCOVA

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a;

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Regression and ANOVA

following topics: Basic Theory Multiple Regression Model Building and Evaluation ANOVA ANCOVA;

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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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Introduction to Robust Estimation and Hypothesis Testing

and accessible R functions Offers comprehensive coverage of ANOVA and ANCOVA methods;

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Levine's Guide to SPSS for Analysis of Variance

of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for;

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Levine's Guide to SPSS for Analysis of Variance

of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for;

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Biostatistical Design and Analysis Using R

non-linear) * simple and complex ANOVA and ANCOVA designs (including nested,factorial, blocking, spit-plot and repeated measures) * frequency;

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Biostatistical Design & Analysis Using R

non-linear) * simple and complex ANOVA and ANCOVA designs (including nested,factorial, blocking, spit-plot and repeated measures) * frequency;

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Two-Way Analysis of Variance

particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups;

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Analysis of Variance

statistical packages for microcomputers, linking the use of ANOVA to regression analysis, and enchancing their discussion on using ANOVA for;

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Analysis of Pretest-Posttest Designs

. Understand the pros and cons of different methods - ANOVA, ANCOVA, percent change, difference scores, and more Learn to choose the most;

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Analysis of Pretest-Posttest Designs

. Understand the pros and cons of different methods - ANOVA, ANCOVA, percent change, difference scores, and more Learn to choose the most;

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Nonparametric Statistical Methods Using R

, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters;

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Nonparametric Statistical Methods Using R

two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event;

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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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Anova In Historisch Perspectief

ANOVA IN HISTORISCH PERSPECTIEF;

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Beyond ANOVA

of techniques from ANOVA to empirical Bayes methods; the jackknife, bootstrap methods; and the James-Stein estimator. This reissue of Miller's classic;

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Fundamentals of Exploratory Analysis of Variance

methods. The authors go beyond the standard steps of the ANOVA table to emphasize both the individual observations and the separate parts that the;

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Regression With Social Data

coverage of:* Logit, probit, scobit, truncated, and censored regressions* Multiple regression with ANOVA and ANCOVA models* Binary and multinomial;

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Modern Regression Techniques Using R

/wrightandlondon. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic;

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Analysis of Variance for Sensory Data

Analysis of Variance (ANOVA) is a statistical technique used in a number of chemical areas including the food industry. This handbook is a;

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Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

This set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman;

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Approaching Multivariate Analysis

;">ANOVA, MANOVA, ANCOVA

Analysis of Variance via Confidence Intervals

Analysis of variance (ANOVA) constitutes the main set of statistical methods used by students and researchers to analyse data from;

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ANOVA for the Behavioral Sciences Researcher

This new book provides a theoretical and practical guide to analysis of variance (ANOVA) for those who have not had a formal course in this;

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