Implementing statistics von imran (4 Ergebnisse)
Implementing R for Statistics
Imran, Muhammad; Tsagris, Michail; Jamal, Farrukh; Chesneau, Christophe
- Softcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 95,38
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Zustand: New.
- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
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EUR 118,82
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Zustand: New. Introduces core statistics concepts and how to apply them using R in an accessible mannerExplains to readers the newest advances in the area of implementing R in statistics through clear and meticulously crafted examplesExplores th.
Implementing R for Statistics
Imran, Muhammad/ Tsagris, Michail/ Jamal, Farrukh/ Chesneau, Christophe
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 161,05
EUR 14,60 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Paperback. Zustand: Brand New. 350 pages. 9.25x7.50x9.25 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc Jan 2026, 2026
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 166,98
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Taschenbuch. Zustand: Neu. Neuware - Implementing R for Statistics provides comprehensive coverage of basic statistical concepts using this important open-source programming language tool, from installing R and RStudio, to exploring its basic structure and uses, to extending some core functions such as vectors, basic mathematica…l operations, and data frames. The book will help readers understand the latest advances in the R programming language, as R allows for sophisticated and elegant data visualization. Illustrated examples are an integral part of the text, carefully designed to apply the core principles illustrated in the text to emerging topics in the field.The text also focuses on exploiting the flexible and user-friendly nature of R. Basic concepts and recent advances in the field, including understanding the R basics, as well as implementing and practicing them in statistics, are also covered. This first edition is an essential text for students, lecturers, data scientists, and applied researchers in all areas of statistics, as well as in related fields such as biostatistics, health care, finance, risk management, social sciences, market research, and environmental and climate research.
