| 書目名稱 | The Foundations of Statistics: A Simulation-based Approach |
| 編輯 | Shravan Vasishth,Michael Broe |
| 視頻video | http://file.papertrans.cn/910/909927/909927.mp4 |
| 概述 | Assumes only high school level mathematics (pre-calculus).Instead of formal proofs, simulations are used to explain the key concepts.Provides all source code to allow the reader to carry out the simul |
| 圖書封面 |  |
| 描述 | .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 stude |
| 出版日期 | Textbook 2011 |
| 關(guān)鍵詞 | Hypothesis testing; Statistics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-16313-5 |
| isbn_softcover | 978-3-642-42344-4 |
| isbn_ebook | 978-3-642-16313-5 |
| copyright | Springer-Verlag Berlin Heidelberg 2011 |
|Archiver|手機版|小黑屋|
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