Introduction to Probability Models
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- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB 3
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- PDF 37,99 €
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Auflage:11. Auflage
71,95 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
08.01.2014
Verlag
Elsevier Science & Techn.Seitenzahl
784 (Printausgabe)
Auflage
11. Auflage
Sprache
Englisch
EAN
9780124081215
The hallmark features of this text have been retained in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual.
This text will be a helpful resource for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.
- Updated data, and a list of commonly used notations and equations, instructor's solutions manual
- Offers new applications of probability models in biology and new material on Point Processes, including the Hawkes process
- Introduces elementary probability theory and stochastic processes, and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences, and operations research
- Covers finite capacity queues, insurance risk models, and Markov chains
- Contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams
- Appropriate for a full year course, this book is written under the assumption that students are familiar with calculus
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