Introduction to Probabilistic and Statistical Methods with Examples in R

Katarzyna Stapor (Autor)

Buch | Hardcover

VIII, 157 Seiten

2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-45798-3 (ISBN)

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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.

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

Erscheinungsdatum	24.05.2020
Reihe/Serie	Intelligent Systems Reference Library
Zusatzinfo	VIII, 157 p. 33 illus., 24 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	409 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	Examples in R • probabilistic methods • Probablity Theory • Statistical Methods • Statistics
ISBN-10	3-030-45798-2 / 3030457982
ISBN-13	978-3-030-45798-3 / 9783030457983
Zustand	Neuware