| 書目名稱 | Foundations of Applied Statistical Methods | | 編輯 | Hang Lee | | 視頻video | http://file.papertrans.cn/347/346875/346875.mp4 | | 概述 | Covers applied statistical methods in a concise and easily accessible way.Examines real-world examples, not just mathematical derivations.Includes valuable review exercises and appendices | | 圖書封面 |  | | 描述 | .This book covers 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 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.. | | 出版日期 | Textbook 2023Latest edition | | 關(guān)鍵詞 | applied statistics; descriptive statistics; design of experiments; probability; statistical inference; su | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-42296-6 | | isbn_softcover | 978-3-031-42298-0 | | isbn_ebook | 978-3-031-42296-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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