Introduction to Probabilistic and Statistical Methods with Examples in R (Intelligent Systems Reference Library Book 176)
By 作者:Katarzyna Stapor
Pages 页数: 168 pages
Publisher Finelybook 出版社: Springer; 1st ed. 2020 edition (23 May 2020)
Language 语言: English
Book Description to Finelybook sorting
This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R.
The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.
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