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Introduction to Probabilistic and Statistical Methods with Examples in R
Details
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.
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
Inhalt
Elements of Probability Theory.- Descriptive and Inferential Statistics.- Linear Regression and Correlation.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030458010
- Lesemotiv Verstehen
- Genre Maths
- Anzahl Seiten 168
- Herausgeber Springer
- Größe H235mm x B155mm x T10mm
- Jahr 2021
- EAN 9783030458010
- Format Kartonierter Einband
- ISBN 3030458016
- Veröffentlichung 23.05.2021
- Titel Introduction to Probabilistic and Statistical Methods with Examples in R
- Autor Katarzyna Stapor
- Untertitel Intelligent Systems Reference Library 176
- Gewicht 265g
- Sprache Englisch