Probability : with applications and R
"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 Bro...
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Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2021.
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Edition: | Second edition. |
Subjects: | |
ISBN: | 9781119692416 1119692415 9781119692348 1119692342 9781119692386 1119692385 1523143770 9781523143771 1119692431 9781119692430 |
Physical Description: | 1 online resource |
Summary: | "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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Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781119692416 1119692415 9781119692348 1119692342 9781119692386 1119692385 1523143770 9781523143771 1119692431 9781119692430 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |