9781107113046 - introduction to probability and statistics for data science: with r de montgomery, douglas c.; fricker, jr ronald d.; rigdon, steven e. (15 resultados)
Introduction to Probability and Statistics for Data Science With R
Rigdon, Steven E.; Fricker, Jr, Ronald D.; Montgomery, Douglas C.
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Introduction to Probability and Statistics for Data Science: with R
Rigdon, Steven E.; Fricker Jr, Ronald D.; Montgomery, Douglas C.
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Librería: CampusBear, Coppell, TX, Estados Unidos de AmericaCampusBear
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hardcover. Condición: As New. No highlighting. Very minimal wear.
Introduction to Probability and Statistics for Data Science With R
Rigdon, Steven E.; Fricker, Jr, Ronald D.; Montgomery, Douglas C.
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Introduction to Probability and Statistics for Data Science With R
Rigdon, Steven E.; Fricker, Jr, Ronald D.; Montgomery, Douglas C.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Introduction to Probability and Statistics for Data Science: with R
Rigdon, Steven E.; Fricker Jr, Ronald D.; Montgomery, Douglas C.
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st edition NO-PA16APR2015-KAP.
Introduction to Probability and Statistics for Data Science With R
Rigdon, Steven E.; Fricker, Jr, Ronald D.; Montgomery, Douglas C.
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Introduction to Probability and Statistics for Data Science With R
Rigdon, Steven E./ Fricker, Jr, Ronald D./ Montgomery, Douglas C.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 840 pages. 10.00x1.83x10.18 inches. In Stock.
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teach…es students to understand, use, and build on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises.
Introduction to Probability and Statistics for Data Science With R
Rigdon, Steven E./ Fricker, Jr, Ronald D./ Montgomery, Douglas C.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 840 pages. 10.00x1.83x10.18 inches. In Stock. This item is printed on demand.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 239,21
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Hardcover. Condición: new. Hardcover. Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and b…uild on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises. This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on modern statistical techniques for complex problems. Examples and exercises incorporate data and R code. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Introduction to Probability and Statistics for Data Science: with R
Rigdon, Steven E.; Fricker Jr, Ronald D.; Montgomery, Douglas C.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Introduction to Probability and Statistics for Data Science: with R
Rigdon, Steven E.; Fricker Jr, Ronald D.; Montgomery, Douglas C.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 268,13
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Hardcover. Condición: new. Hardcover. Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and b…uild on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises. This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on modern statistical techniques for complex problems. Examples and exercises incorporate data and R code. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 261,64
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Hardcover. Condición: new. Hardcover. Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and b…uild on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises. This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on modern statistical techniques for complex problems. Examples and exercises incorporate data and R code. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 279,25
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Buch. Condición: Neu. Introduction to Probability and Statistics for Data Science | Steven E. Rigdon (u. a.) | Buch | Englisch | 2025 | Cambridge University Press | EAN 9781107113046 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
