Description

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization and model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications.

Features

    • Accessible to readers with a basic background in probability and statistics
    • Covers fundamental concepts of experimen

    ANOVA and Mixed Models

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      A Paperback by Lukas Meier

      £999.99

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        Book details

        Publisher Chapman & Hall/CRC
        Published 11 April 2022
        ISBN-13 9780367704209
        978-0367704209
        ISBN-10 036770420X
        Also in:
        Econometrics and economic statistics Research methods / methodology

        Description

        ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization and model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications.

        Features

          • Accessible to readers with a basic background in probability and statistics
          • Covers fundamental concepts of experimen

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