Authors:
- Teaches core subjects students need to both understand and perform computer-generated statistical analyses
- Builds on Brown's earlier book on common statistical analyses, Linear Models in Matrix Form? (Springer, 2014)
- Utilizes R as standard tool for algebraic calculations
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Table of contents (14 chapters)
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Front Matter
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Linear Algebra
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Front Matter
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Bias and Efficiency
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Front Matter
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Nonlinear Models
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Front Matter
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About this book
Building on the author’s previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics.
Authors and Affiliations
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Department of Psychology, University of Washington, Seattle, USA
Jonathon D. Brown
About the author
Bibliographic Information
Book Title: Advanced Statistics for the Behavioral Sciences
Book Subtitle: A Computational Approach with R
Authors: Jonathon D. Brown
DOI: https://doi.org/10.1007/978-3-319-93549-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-93547-8Published: 15 May 2019
eBook ISBN: 978-3-319-93549-2Published: 30 April 2019
Edition Number: 1
Number of Pages: XXI, 526
Number of Illustrations: 37 b/w illustrations, 207 illustrations in colour
Topics: Statistics for Social Sciences, Humanities, Law, Statistical Theory and Methods, Psychometrics, General Psychology