书目名称 | Introduction to Probability, Statistics & R | 副标题 | Foundations for Data | 编辑 | Sujit K. Sahu | 视频video | | 概述 | Covers the most fundamental topics in probability and statistics, both theoretical and applied.Includes a dedicated R package to learn, practise and use the theory.Request lecturer material: | 图书封面 |  | 描述 | A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners.. .The book comprises 19 chapters divided into five parts. Part I introduces basic statistics and the R software package, teaching readers to calculate simple statistics and create basic data graphs. Part II delves into probability concepts, including rules and conditional probability, and introduces widelyused discrete and continuous probability distributions (e.g., binomial, Poisson, normal, log-normal). It concludes with the central limit theorem and joint distributions for multiple random variables. Part III explores statistical infer | 出版日期 | Textbook 2024 | 关键词 | Actuarial statistics; Textbook on statistics with R; mathematical statistics; applied statistics; regres | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-37865-2 | isbn_ebook | 978-3-031-37865-2 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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书目名称Introduction to Probability, Statistics & R被引频次 
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