Sinossi
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. Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dalla quarta di copertina
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. Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Introduction to Probabilistic and Statistical Methods with Examples in R.
Editore:
Cham, Springer International Publishing : Imprint: Springer., 2020
ISBN 10: 3030457982
ISBN 13: 9783030457983
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VIII, 157 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Intelligent Systems Reference Library, 176. Sprache: Englisch. Codice articolo 7120BB
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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 (Intelligent Systems Reference Library, 176)
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Introduction to Probabilistic and Statistical Methods with Examples in R
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Springer International Publishing Mai 2020, 2020
ISBN 10: 3030457982
ISBN 13: 9783030457983
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Buch. Condizione: 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. Codice articolo 9783030457983
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Introduction to Probabilistic and Statistical Methods with Examples in R
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Springer International Publishing, 2020
ISBN 10: 3030457982
ISBN 13: 9783030457983
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Gebunden. Condizione: 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. Codice articolo 448682598
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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 (Intelligent Systems Reference Library (176))
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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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Hardcover. Condizione: Brand New. 165 pages. 9.25x6.10x9.21 inches. In Stock. Codice articolo x-3030457982
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Introduction to Probabilistic and Statistical Methods with Examples in R
Editore:
Springer, Birkhäuser Mai 2020, 2020
ISBN 10: 3030457982
ISBN 13: 9783030457983
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Buch. Condizione: 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. Codice articolo 9783030457983
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