{"product_id":"9781119692386","title":"Probability With Applications and R","description":"\u003ch1\u003eProbability\u003c\/h1\u003e\u003ch2\u003eWith Applications and R\u003c\/h2\u003e\u003ch3\u003eAmy S. Wagaman | Robert P. Dobrow\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eDiscover the latest edition of a practical introduction to the theory of probability, complete with R code samples\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn the newly revised Second Edition of \u003ci\u003eProbability: With Applications and R, \u003c\/i\u003edistinguished 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.\u003c\/p\u003e \u003cp\u003eNew 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.\u003c\/p\u003e \u003cp\u003eThe new edition also includes for the first time: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eA thorough discussion of reproducibility in the context of generating random numbers\u003c\/li\u003e \u003cli\u003eRevised sections and exercises on conditioning, and a renewed description of specifying PMFs and PDFs\u003c\/li\u003e \u003cli\u003eSubstantial organizational changes to improve the flow of the material\u003c\/li\u003e \u003cli\u003eAdditional descriptions and supplemental examples to the bivariate sections to assist students with a limited understanding of calculus\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for upper-level undergraduate students in a first course on probability theory, \u003ci\u003eProbability\u003c\/i\u003e\u003ci\u003e: With Applications and R\u003c\/i\u003e 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.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eAmy S. Wagaman, PhD\u003c\/b\u003e, 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 and estimation, and covariance estimation and regularization.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRobert P. Dobrow, PhD\u003c\/b\u003e, is Emeritus Professor of Mathematics at Carleton College. He has over 15 years of experience teaching probability and has authored numerous papers in probability theory, Markov chains, and statistics.\u003c\/p\u003e \u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e07 July 2021\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119692386\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e544\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e16.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44383771132044,"sku":"9781119692386","price":138.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119692386_9eac2436-96cf-4a0d-8b5a-c08aff52f522.jpg?v=1780234241","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119692386","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}