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Probability = with applications and R /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Probability/ Amy S. Wagaman, Robert P. Dobrow.
其他題名:
with applications and R /
作者:
Wagaman, Amy Shepherd,
其他作者:
Dobrow, Robert P.
出版者:
Hoboken, NJ :Wiley, : 2021.,
面頁冊數:
1 online resource.
標題:
Probabilities - Data processing. -
電子資源:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119692430
ISBN:
9781119692430
Probability = with applications and R /
Wagaman, Amy Shepherd,1982-
Probability
with applications and R /[electronic resource] :Amy S. Wagaman, Robert P. Dobrow. - 2nd ed. - Hoboken, NJ :Wiley,2021. - 1 online resource.
Includes bibliographical references and index.
"This book is ideal for courses on Probability typically taught in Mathematics and/or Statistics departments but could also be used in Engineering or Data Science departments. This book could also serve as a supplemental or review text for courses on Stochastic Processes or Markov Chains or Brownian Motion, since those require a strong foundation in probability. The text is also preparatory for the Probability Actuarial Exam -- students who successfully complete a course with this text and do well are well-positioned to pass the P exam. Some major features of the new edition include an addition of supplemental materials for coding and simulation, improved exposition and examples for some topics, and addressing issues with errata. These features increase the value of the text especially in an era where developing computing skills has become a staple of statistical practice, and desirable for many other fields as well"--
ISBN: 9781119692430Subjects--Topical Terms:
534352
Probabilities
--Data processing.
LC Class. No.: QA276.45.R3 / D63 2021
Dewey Class. No.: 519.20285/5133
Probability = with applications and R /
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"This book is ideal for courses on Probability typically taught in Mathematics and/or Statistics departments but could also be used in Engineering or Data Science departments. This book could also serve as a supplemental or review text for courses on Stochastic Processes or Markov Chains or Brownian Motion, since those require a strong foundation in probability. The text is also preparatory for the Probability Actuarial Exam -- students who successfully complete a course with this text and do well are well-positioned to pass the P exam. Some major features of the new edition include an addition of supplemental materials for coding and simulation, improved exposition and examples for some topics, and addressing issues with errata. These features increase the value of the text especially in an era where developing computing skills has become a staple of statistical practice, and desirable for many other fields as well"--
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https://onlinelibrary.wiley.com/doi/book/10.1002/9781119692430
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