00000cmm a22000004a 4500 UP-99796217611212559 Buklod 20230215085534.0 m go j cr |n |||auu|a 101112s2011 xx u eng d 9783642163135 (eBook) 3642163130 (eBook) (iLib)UPD-00215704362 DML eng DMLUC QA 276.4 V37 2011eb Vasishth, Shravan 1964- The foundations of statistics a simulation-based approach [electronic resource] Shravan Vasishth, Michael Broe. Heidelberg New York Springer c2011. 1 online resource (xv, 178 p.) ill. 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. IP-based subscription, access limited to within on campus computer network. Access via Electronic Resources of the UPD University Library Website. Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended for advanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and cognitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended. Harald Baayen, Professor of Linguistics, University of Alberta, Canada 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Mathematical statistics Simulation methods. Mathematical statistics Computer simulation. Electronic books. Broe, Michael B. SpringerLink (Online service). Electronic Resource Available for University of the Philippines Diliman via SpringerLink. Click here to access http://dx.doi.org/10.1007/978-3-642-16313-5 FO Monograph UPD DMLR Electronic Resource