Introduction to Probabilistic and Statistical Methods with Examples in R by Kata

Description: Introduction to Probabilistic and Statistical Methods with Examples in R by Katarzyna Stapor 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book strikes a healthy balance between theory and applications, ensuring that it doesnt 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. Back Cover This book strikes a healthy balance between theory and applications, ensuring that it doesnt 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. Table of Contents Elements of Probability Theory.- Descriptive and Inferential Statistics.- Linear Regression and Correlation. Feature Contains examples that use real or simulated data to illustrate the methods of descriptive and inferential statistics Features a wealth of carefully selected real-life examples Presents implementations of selected examples in the language R Details ISBN3030458016 Author Katarzyna Stapor Pages 157 Series Intelligent Systems Reference Library Language English Year 2021 ISBN-10 3030458016 ISBN-13 9783030458010 Format Paperback Series Number 176 Publisher Springer Nature Switzerland AG Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Publication Date 2021-05-23 UK Release Date 2021-05-23 Illustrations 24 Illustrations, color; 9 Illustrations, black and white; VIII, 157 p. 33 illus., 24 illus. in color. Edition Description 1st ed. 2020 Alternative 9783030457983 Audience Further / Higher Education We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134001425;

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