© 2020

Introduction to Probabilistic and Statistical Methods with Examples in R


Part of the Intelligent Systems Reference Library book series (ISRL, volume 176)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Katarzyna Stapor
    Pages 1-61
  3. Katarzyna Stapor
    Pages 63-131
  4. Katarzyna Stapor
    Pages 133-149
  5. Back Matter
    Pages 151-157

About this book


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.  


Statistical Methods Probabilistic Methods Examples in R Probablity Theory Statistics

Authors and affiliations

  1. 1.Faculty of Automatic Control, Electronics and Computer ScienceSilesian Technical UniversityGliwicePoland

Bibliographic information

  • Book Title Introduction to Probabilistic and Statistical Methods with Examples in R
  • Authors Katarzyna Stapor
  • Series Title Intelligent Systems Reference Library
  • Series Abbreviated Title Intel.Syst.Ref.Library
  • DOI
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-030-45798-3
  • Softcover ISBN 978-3-030-45801-0
  • eBook ISBN 978-3-030-45799-0
  • Series ISSN 1868-4394
  • Series E-ISSN 1868-4408
  • Edition Number 1
  • Number of Pages VIII, 157
  • Number of Illustrations 9 b/w illustrations, 24 illustrations in colour
  • Topics Applied Statistics
    Data Engineering
    Engineering Mathematics
  • Buy this book on publisher's site