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Intelligent Systems Reference Library

Introduction to Probabilistic and Statistical Methods with Examples in R

Authors: Stapor, Katarzyna

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  • 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
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eBook $84.99
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  • ISBN 978-3-030-45799-0
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  • ISBN 978-3-030-45798-3
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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.  

Table of contents (3 chapters)

Table of contents (3 chapters)

Buy this book

eBook $84.99
price for Mexico (gross)
  • ISBN 978-3-030-45799-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for Mexico
  • ISBN 978-3-030-45798-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Introduction to Probabilistic and Statistical Methods with Examples in R
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
176
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-45799-0
DOI
10.1007/978-3-030-45799-0
Hardcover ISBN
978-3-030-45798-3
Series ISSN
1868-4394
Edition Number
1
Number of Pages
VIII, 157
Number of Illustrations
9 b/w illustrations, 24 illustrations in colour
Topics

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