Concepts of Probability Theory: Second Revised Edition (Dover Books on Mathematics). Questo articolo non è disponibile.
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Lingua: inglese
Editore: Dover Publications, 2012
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Codice articolo G0486636771I3N00
- Titolo
- Concepts of Probability Theory: Second Revised Edition (Dover Books on Mathematics)
- Autore
- Paul E. Pfeiffer
- Editore
- Dover Publications
- Anno di pubblicazione
- 2012
- Condizione
- Good
- Sovraccoperta
- No Jacket
- Rilegatura
- Paperback
- Lingua
- inglese
- ISBN 10
- 0486636771
- ISBN 13
- 9780486636771
- Edizione
- seconda edizione
- Peso dell'articolo
- 0,97 libbre
This approach to the basics of probability theory employs the simple conceptual framework of the Kolmogorov model, a method that comprises both the literature of applications and the literature on pure mathematics. The author also presents a substantial introduction to the idea of a random process. Intended for college juniors and seniors majoring in science, engineering, or mathematics, the book assumes a familiarity with basic calculus.
After a brief historical introduction, the text examines a mathematical model for probability, random variables and probability distributions, sums and integrals, mathematical expectation, sequence and sums of random variables, and random processes. Problems with answers conclude each chapter, and six appendixes offer supplementary material. This text provides an excellent background for further study of statistical decision theory, reliability theory, dynamic programming, statistical game theory, coding and information theory, and classical sampling statistics.
After a brief historical introduction, the text examines a mathematical model for probability, random variables and probability distributions, sums and integrals, mathematical expectation, sequence and sums of random variables, and random processes. Problems with answers conclude each chapter, and six appendixes offer supplementary material. This text provides an excellent background for further study of statistical decision theory, reliability theory, dynamic programming, statistical game theory, coding and information theory, and classical sampling statistics.
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Informazioni sull’autore
Paul E. Pfeiffer is Professor Emeritus of Computational and Applied Mathematics at Rice University. His research interests coincide with his teaching interests: electronic circuits, control systems, analog computers, switching circuits, coding theory, applied probability, and random processes.
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