Introduction to Probabilistic and Statistical Methods with Examples in R (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 176
Release date:	May 2021
First published:	2020
Authors:	Katarzyna Stapor
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	157
Edition:	1st ed. 2020
ISBN-13:	978-3-03-045801-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Databases > General
LSN:	3-03-045801-6
Barcode:	9783030458010

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