Introduction to Probabilistic and Statistical Methods with Examples in R: 176 (Intelligent Systems Reference Library, 176) - Hardcover
Synopsis
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."synopsis" may belong to another edition of this title.
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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."About this title" may belong to another edition of this title.
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Introduction to Probabilistic and Statistical Methods with Examples in R.
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ISBN 10: 3030457982
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Introduction to Probabilistic and Statistical Methods with Examples in R (eng)
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Introduction to Probabilistic and Statistical Methods with Examples in R
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 168 pp. Englisch. Seller Inventory # 9783030457983
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Introduction to Probabilistic and Statistical Methods with Examples in R (Intelligent Systems Reference Library (176))
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Introduction to Probabilistic and Statistical Methods with Examples in R
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 langua. Seller Inventory # 448682598
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Introduction to Probabilistic and Statistical Methods with Examples in R
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch. Seller Inventory # 9783030457983