Items related to The Foundations of Statistics: A Simulation-based Approach
Synopsis
1. Getting Started.- 2. Randomness and Probability.- 3. The Sampling Distribution of the Sample Mean.- 4. Power.- 5. Analysis of Variance (NOVA).- 6. Bivariate Statistics and Linear Models.- 7. An Introduction to Linear Mixed Models. A. Random Variables.- B- Basic R Commands and Data Structures.- Index.- References.
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Review
From the reviews:
"Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Students will find the simulation-based approach using R very helpful for acquiring an intuitive appreciation of the central concepts and ideas of statistical analysis. Highly recommended."
Harald Baayen, Professor of Linguistics, University of Alberta, Canada
”My students very much appreciated the simulation-based approach of the text, the fact that it was based upon a powerful, cross-platform analysis package (i.e., R), and the fact that it dealt with issues that are very relevant to the analytical problems that they encounter in their own research. By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book’s coverage.”
Colin Phillips, Professor of Linguistics, University of Maryland, USA
“The Foundations of Statistics provides a step-by-step guide to introductory statistics. ... this is an introductory text for non-mathematicians, specifically those in the field of linguistics. ... The topics presented make it also relevant for students in other fields of the social sciences. The book provides a very non-theoretical and non-technical introduction to topics in statistics ... . the book serves its intended purpose very well. I would happily use it in undergraduate courses for social science students.” (Ita Cirovic Donev, The Mathematical Association of America, September, 2011)
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