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Introduction to Probability and Statistics for Data Science

- with R
Af: Steven E. Rigdon, Douglas C. Montgomery, Jr Fricker Engelsk Paperback

Introduction to Probability and Statistics for Data Science

- with R
Af: Steven E. Rigdon, Douglas C. Montgomery, Jr Fricker Engelsk Paperback
Tjek vores konkurrenters priser
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 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.
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Tjek vores konkurrenters priser
Normalpris
kr 697
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
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 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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 828
ISBN-13: 9781009568357
Indbinding: Paperback
Udgave:
ISBN-10: 1009568353
Kategori: Dataanalyse: generelt
Udg. Dato: 14 nov 2024
Længde: 43mm
Bredde: 207mm
Højde: 257mm
Forlag: Cambridge University Press
Oplagsdato: 14 nov 2024
Forfatter(e): Steven E. Rigdon, Douglas C. Montgomery, Jr Fricker
Forfatter(e) Steven E. Rigdon, Douglas C. Montgomery, Jr Fricker

Kategori Dataanalyse: generelt

ISBN-13 9781009568357

Sprog Engelsk

Indbinding Paperback

Sider 828

Udgave

Længde 43mm

Bredde 207mm

Højde 257mm

Udg. Dato 14 nov 2024

Oplagsdato 14 nov 2024

Forlag Cambridge University Press

Kategori sammenhænge