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Introduction to probabilistic and st...

Stapor, Katarzyna.

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Introduction to probabilistic and statistical methods with examples in R

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to probabilistic and statistical methods with examples in R/ by Katarzyna Stapor.
Author:	Stapor, Katarzyna.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	viii, 157 p. :ill., digital ;24 cm.
[NT 15003449]:	Elements of Probability Theory -- Descriptive and Inferential Statistics -- Linear Regression and Correlation.
Contained By:	Springer eBooks
Subject:	Mathematical statistics. -
Online resource:	https://doi.org/10.1007/978-3-030-45799-0
ISBN:	9783030457990

Introduction to probabilistic and statistical methods with examples in R
Stapor, Katarzyna.

Introduction to probabilistic and statistical methods with examples in R[electronic resource] /by Katarzyna Stapor. - Cham :Springer International Publishing :2020. - viii, 157 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1761868-4394 ;. - Intelligent systems reference library ;v.176..

Elements of Probability Theory -- Descriptive and Inferential Statistics -- Linear Regression and Correlation.

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.

ISBN: 9783030457990

Standard No.: 10.1007/978-3-030-45799-0doiSubjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276 / .S737 2020

Dewey Class. No.: 519.5

Introduction to probabilistic and statistical methods with examples in R
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100 1 $a Stapor, Katarzyna. $3 3524600
245 1 0 $a Introduction to probabilistic and statistical methods with examples in R $h [electronic resource] / $c by Katarzyna Stapor.
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300 $a viii, 157 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.176
505 0 $a Elements of Probability Theory -- Descriptive and Inferential Statistics -- Linear Regression and Correlation.
520 $a 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.
650 0 $a Mathematical statistics. $3 516858
650 0 $a R (Computer program language) $3 784593
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650 2 4 $a Engineering Mathematics. $3 3301900
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