This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions. Stochastic Processes is ideal for a course aiming to give examples of the wide variety of empirical phenomena for which stochastic processes provide mathematical models. It introduces the methods of probability model building and provides the reader with mathematically sound techniques as well as the ability to further study the theory of stochastic processes. Originally published in 1962, this was the first comprehensive survey of stochastic processes requiring only a minimal background in introductory probability theory and mathematical analysis. Stochastic Processes continues to be unique, with many topics and examples still not discussed in other textbooks.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions. Stochastic Processes is ideal for a course aiming to give examples of the wide variety of empirical phenomena for which stochastic processes provide mathematical models. It introduces the methods of probability model building and provides the reader with mathematically sound techniques as well as the ability to further study the theory of stochastic processes. Originally published in 1962, this was the first comprehensive survey of stochastic processes requiring only a minimal background in introductory probability theory and mathematical analysis. Stochastic Processes continues to be unique, with many topics and examples still not discussed in other textbooks.
Emanuel Parzen is the author of several highly regarded books on probability theory. He taught at Stanford from 1956 until 1970 and then at SUNY Buffalo, and in 1978 he was named Distinguished Professor at Texas A & M University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0898714419I3N00
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Vendeur : Book Booth, Berea, OH, Etats-Unis
Hard Cover. Etat : Good. Etat de la jaquette : Good. Margin marks & notes to approx. 12 pages, else text clean; binding tight; moderate wear to dustjacket. 324 pages. Illustrated. Provides an introduction to the methods of probability model-building, with examples of a wide variety of empirical phenomena for which stochastic processes provide mathematical models. N° de réf. du vendeur S148-037881
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Vendeur : Book Booth, Berea, OH, Etats-Unis
Hard Cover. Etat : Good. Etat de la jaquette : Good. Name ink-stamped inside front cover & on title page, else text clean; binding tight; moderate wear to dustjacket. 324 pages. Illustrated. Provides an introduction to the methods of probability model-building, with examples of a wide variety of empirical phenomena for which stochastic processes provide mathematical models. N° de réf. du vendeur S49-037733
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Softcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 PAR 9780898714418 Sprache: Englisch Gewicht in Gramm: 550. N° de réf. du vendeur 2503963
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Broschiert. Etat : Sehr gut. Classics in Applied Mathematics, Band 24. Zust: Gutes Exemplar. XIX, 324 S. Englisch 486g. N° de réf. du vendeur 489913
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