eBook
Computational Probability
| Τίτλος: | Computational Probability |
|---|---|
| Περιγραφή: | This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables. Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department. |
| Συγγραφείς: | John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis |
| Resource Type: | eBook. |
| Θέματα: | Probabilities--Data processing, Mathematics--Data processing |
| Categories: | BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 1282136 RelevancyScore: 931 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 930.90771484375 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computational Probability – Name: Abstract Label: Description Group: Ab Data: This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables. Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22John+H%2E+Drew%22">John H. Drew</searchLink><br /><searchLink fieldCode="AR" term="%22Diane+L%2E+Evans%22">Diane L. Evans</searchLink><br /><searchLink fieldCode="AR" term="%22Andrew+G%2E+Glen%22">Andrew G. Glen</searchLink><br /><searchLink fieldCode="AR" term="%22Lawrence+M%2E+Leemis%22">Lawrence M. Leemis</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Probabilities--Data+processing%22">Probabilities--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics--Data+processing%22">Mathematics--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Operations+Research%22">BUSINESS & ECONOMICS / Operations Research</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Mathematical+%26+Statistical+Software%22">COMPUTERS / Mathematical & Statistical Software</searchLink><br /><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=1282136 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 658.40301 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Probabilities--Data processing Type: general – SubjectFull: Mathematics--Data processing Type: general Titles: – TitleFull: Computational Probability Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: John H. Drew – PersonEntity: Name: NameFull: Diane L. Evans – PersonEntity: Name: NameFull: Andrew G. Glen – PersonEntity: Name: NameFull: Lawrence M. Leemis – PersonEntity: Name: NameFull: John H. Drew – PersonEntity: Name: NameFull: Diane L. Evans – PersonEntity: Name: NameFull: Andrew G. Glen – PersonEntity: Name: NameFull: Lawrence M. Leemis IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2017 – D: 20 M: 12 Type: profile Y: 2016 Identifiers: – Type: isbn-print Value: 9783319433219 – Type: isbn-electronic Value: 9783319433233 Numbering: – Type: volume Value: 00246 Titles: – TitleFull: Computational Probability Type: main |
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