eBook
Probability : With Applications and R
| Τίτλος: | Probability : With Applications and R |
|---|---|
| Περιγραφή: | 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. |
| Συγγραφείς: | Amy S. Wagaman, Robert P. Dobrow |
| Resource Type: | eBook. |
| Θέματα: | R (Computer program language), Probabilities--Data processing |
| Categories: | MATHEMATICS / Probability & Statistics / General |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Probability : With Applications and R – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Amy+S%2E+Wagaman%22">Amy S. Wagaman</searchLink><br /><searchLink fieldCode="AR" term="%22Robert+P%2E+Dobrow%22">Robert P. Dobrow</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Probabilities--Data+processing%22">Probabilities--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+General%22">MATHEMATICS / Probability & Statistics / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2947734 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 519.202855133 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: R (Computer program language) Type: general – SubjectFull: Probabilities--Data processing Type: general Titles: – TitleFull: Probability : With Applications and R Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Amy S. Wagaman – PersonEntity: Name: NameFull: Robert P. Dobrow – PersonEntity: Name: NameFull: Amy S. Wagaman – PersonEntity: Name: NameFull: Robert P. Dobrow IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 13 M: 09 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9781119692386 – Type: isbn-electronic Value: 9781119692348 – Type: isbn-electronic Value: 9781119692416 Titles: – TitleFull: Probability : With Applications and R Type: main |
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