| 书目名称 | Introduction to Statistics and Data Analysis | | 副标题 | With Exercises, Solu | | 编辑 | Christian Heumann,Michael Schomaker,Shalabh | | 视频video | | | 概述 | Introduces undergraduate students and self-learners to quantitative data analysis and statistics.Features new chapters on logistic regression, sampling and bootstrapping, and causal inference.Provides | | 图书封面 |  | | 描述 | .Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference..The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.. | | 出版日期 | Textbook 2022Latest edition | | 关键词 | descriptive statistics; inductive statistics; quantitative data analysis; statistical software R; introd | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-11833-3 | | isbn_softcover | 978-3-031-12025-1 | | isbn_ebook | 978-3-031-11833-3 | | copyright | Springer Nature Switzerland AG 2022 |
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发表于 2025-3-21 19:54:38
