Probability: With Applications and R

Name: Probability: With Applications and R
SKU: GC-3117544337
Availability: InStock

$60.00

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 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 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. Additional ISBNs 1119692385, 1119692431, 9781119692386, 9781119692430Read More Probability: With Applications and R 2nd Edition is written by Amy S. Wagaman; Robert P. Dobrow and published by Wiley-Blackwell. ISBNs for Probability are 9781119692416, 1119692415 and the print ISBNs are 9781119692386, 1119692385. Additional ISBNs include 1119692385, 1119692431, 9781119692386, 9781119692430.

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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 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. Additional ISBNs 1119692385, 1119692431, 9781119692386, 9781119692430Read More Probability: With Applications and R 2nd Edition is written by Amy S. Wagaman; Robert P. Dobrow and published by Wiley-Blackwell. ISBNs for Probability are 9781119692416, 1119692415 and the print ISBNs are 9781119692386, 1119692385. Additional ISBNs include 1119692385, 1119692431, 9781119692386, 9781119692430.