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    Introduction to Probabilistic and Statistical Methods with Examples in R

Introduction to Probabilistic and Statistical Methods with Examples in R

Katarzyna Stapor
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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.  
      Format: Paperback / softback CONTRIBUTORS: Katarzyna Stapor EAN: 9783030458010 COUNTRY: Switzerland PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2021-05-23 CITY: GENRE: COMPUTERS / Data Science / General, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Probability and statistics, Maths for engineers, Databases

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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.  
      Format: Paperback / softback CONTRIBUTORS: Katarzyna Stapor EAN: 9783030458010 COUNTRY: Switzerland PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2021-05-23 CITY: GENRE: COMPUTERS / Data Science / General, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Probability and statistics, Maths for engineers, Databases

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      Be the first to write a review
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