书目名称 | Foundations of Applied Statistical Methods | 编辑 | Hang Lee | 视频video | | 概述 | Covers applied statistical methods in a concise and easily accessible way.Driven by real-world examples not just mathematical derivations.Includes valuable review exercises and 7 appendices | 图书封面 |  | 描述 | .This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This text may be used as a self review guidebook for applied researchers or as an introductory statistical methods textbook for students not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination..The author has over twenty years of experience on applying statistical methods to study design and data analysis in collaborative medical research setting as well as on teaching. He received his PhD from University of Southern California Department of Preventive Medicine, received a post-doctoral trainin | 出版日期 | Textbook 20141st edition | 关键词 | applied statistics; descriptive statistics; design of experiments; probability; statistical inference; su | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-02402-8 | isbn_softcover | 978-3-319-34724-0 | isbn_ebook | 978-3-319-02402-8 | copyright | Springer International Publishing Switzerland 2014 |
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