Isbn: 9781119692386 - probability: with applications and r (22 risultati)

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Condizione: new.

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Condizione: As New. Unread book in perfect condition.

Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

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Condizione: New. 2021. 2nd Edition. Hardcover. . . . . .

Condizione: New.

Condizione: New. In English.

Condizione: New. Amy S. Wagaman, PhD, is Associate Professor of Statistics at Amherst College. She received her doctorate in Statistics at the University of Michigan in 2008. Her research interests include nonparametric statistics, statistics education, dimension reduction .

Hardcover. Condizione: Brand New. 2nd edition. 520 pages. 9.25x6.25x1.50 inches. In Stock.

Condizione: New. 2021. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Buch. Condizione: Neu. Neuware - Discover the latest edition of a practical introduction to the theory of probability, complete with R code samplesIn the newly revised Second Edition of Probability: With Applications and R, distinguished researchers Drs. Robert Dobrow and Amy Wagaman deliver a thorough introduction to the foundations of probability theory. The book includes a host of chapter exercises, examples in R with included code, and well-explained solutions. With new and improved discussions on reproducibility for random numbers and how to set seeds in R, and organizational changes, the new edition will be of use to anyone taking their first probability course within a mathematics, statistics, engineering, or data science program.New exercises and supplemental materials support more engagement with R, and include new code samples to accompany examples in a variety of chapters and sections that didn't include them in the first edition.The new edition also includes for the first time:\* A thorough discussion of reproducibility in the context of generating random numbers\* Revised sections and exercises on conditioning, and a renewed description of specifying PMFs and PDFs\* Substantial organizational changes to improve the flow of the material\* Additional descriptions and supplemental examples to the bivariate sections to assist students with a limited understanding of calculusPerfect for upper-level undergraduate students in a first course on probability theory, Probability: With Applications and R is also ideal for researchers seeking to learn probability from the ground up or those self-studying probability for the purpose of taking advanced coursework or preparing for actuarial exams.…

Hardcover. Condizione: Brand New. 2nd edition. 520 pages. 9.25x6.25x1.50 inches. In Stock. This item is printed on demand.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 726.

Hardcover. Condizione: new. Hardcover. Discover the latest edition of a practical introduction to the theory of probability, complete with R code samples In the newly revised Second Edition of Probability: With Applications and R, distinguished researchers Drs. Robert Dobrow and Amy Wagaman deliver a thorough introduction to the foundations of probability theory. The book includes a host of chapter exercises, examples in R with included code, and well-explained solutions. With new and improved discussions on reproducibility for random numbers and how to set seeds in R, and organizational changes, the new edition will be of use to anyone taking their first probability course within a mathematics, statistics, engineering, or data science program. New exercises and supplemental materials support more engagement with R, and include new code samples to accompany examples in a variety of chapters and sections that didnt include them in the first edition. The new edition also includes for the first time: A thorough discussion of reproducibility in the context of generating random numbersRevised sections and exercises on conditioning, and a renewed description of specifying PMFs and PDFsSubstantial organizational changes to improve the flow of the materialAdditional descriptions and supplemental examples to the bivariate sections to assist students with a limited understanding of calculus Perfect for upper-level undergraduate students in a first course on probability theory, Probability: With Applications and R is also ideal for researchers seeking to learn probability from the ground up or those self-studying probability for the purpose of taking advanced coursework or preparing for actuarial exams. 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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