Buch, Englisch, Band 176, 157 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
Buch, Englisch, Band 176, 157 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
Reihe: Intelligent Systems Reference Library
ISBN: 978-3-030-45801-0
Verlag: Springer International Publishing
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.Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
Weitere Infos & Material
Elements of Probability Theory.- Descriptive and Inferential Statistics.- Linear Regression and Correlation.
