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In den WarenkorbZustand: Very Good. Spine of cover has slightly faded and some minor shelf wear. Also inscriptions on fep but content is fine.
Verlag: New York Inc.: Springer-Verlag, 1993
ISBN 10: 0387977848 ISBN 13: 9780387977843
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - These notes were written as a result of my having taught a 'nonmeasure theoretic' course in probability and stochastic processes a few times at the Weizmann Institute in Israel. I have tried to follow two principles. The first is to prove things 'probabilistically' whenever possible without recourse to other branches of mathematics and in a notation that is as 'probabilistic' as possible. Thus, for example, the asymptotics of pn for large n, where P is a stochastic matrix, is developed in Section V by using passage probabilities and hitting times rather than, say, pulling in Perron Frobenius theory or spectral analysis. Similarly in Section II the joint normal distribution is studied through conditional expectation rather than quadratic forms. The second principle I have tried to follow is to only prove results in their simple forms and to try to eliminate any minor technical com putations from proofs, so as to expose the most important steps. Steps in proofs or derivations that involve algebra or basic calculus are not shown; only steps involving, say, the use of independence or a dominated convergence argument or an assumptjon in a theorem are displayed. For example, in proving inversion formulas for characteristic functions I omit steps involving evaluation of basic trigonometric integrals and display details only where use is made of Fubini's Theorem or the Dominated Convergence Theorem.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 217 | Sprache: Englisch | Produktart: Bücher.
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In den WarenkorbHardcover. Zustand: Very Good. No Jacket. No. "71" in red pen, and University library stamp to front glued endpaper. Otherwise, like new. Very clean, sound, copy. Springer Texts in Statistics series. 205 pgs.
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In den WarenkorbPaperback or Softback. Zustand: New. An Introduction to Probability and Stochastic Processes 0.74. Book.
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In den Warenkorbhardcover. Zustand: Good. No dust jacket. Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.
Verlag: Springer-Verlag, New York, 1993
ISBN 10: 0387977848 ISBN 13: 9780387977843
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: New. 8vo, hardcover. No dj, as issued. NEW. Bright, crisp & clean, unread; covers glossy. xii, 205 p.
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In den WarenkorbZustand: New. pp. xii + 205.
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 217 pages. 9.06x6.06x0.55 inches. In Stock.
Verlag: Springer-Verlag, 1992
ISBN 10: 0387977848 ISBN 13: 9780387977843
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In den WarenkorbHardback. Zustand: Fine. No Jacket. First edition. 1st 1992. Nearly fine condition with no wrapper. Springer Texts in Statistics Series. Corners bumped. Packaged with care and promptly dispatched!
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In den WarenkorbZustand: Fine. Number of pages: 205 Size: Hardcover.
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. These notes were written as a result of my having taught a nonmeasure theoretic course in probability and stochastic processes a few times at the Weizmann Institute in Israel. I have tried to follow two principles. The first is to prove things probabilis.
Verlag: Springer New York, Springer US Sep 2011, 2011
ISBN 10: 1461276438 ISBN 13: 9781461276432
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -These notes were written as a result of my having taught a 'nonmeasure theoretic' course in probability and stochastic processes a few times at the Weizmann Institute in Israel. I have tried to follow two principles. The first is to prove things 'probabilistically' whenever possible without recourse to other branches of mathematics and in a notation that is as 'probabilistic' as possible. Thus, for example, the asymptotics of pn for large n, where P is a stochastic matrix, is developed in Section V by using passage probabilities and hitting times rather than, say, pulling in Perron Frobenius theory or spectral analysis. Similarly in Section II the joint normal distribution is studied through conditional expectation rather than quadratic forms. The second principle I have tried to follow is to only prove results in their simple forms and to try to eliminate any minor technical com putations from proofs, so as to expose the most important steps. Steps in proofs or derivations that involve algebra or basic calculus are not shown; only steps involving, say, the use of independence or a dominated convergence argument or an assumptjon in a theorem are displayed. For example, in proving inversion formulas for characteristic functions I omit steps involving evaluation of basic trigonometric integrals and display details only where use is made of Fubini's Theorem or the Dominated Convergence Theorem.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch.
Verlag: Springer-Verlag New York Inc., 2011
ISBN 10: 1461276438 ISBN 13: 9781461276432
Sprache: Englisch
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 364.
Verlag: Springer New York Sep 2011, 2011
ISBN 10: 1461276438 ISBN 13: 9781461276432
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These notes were written as a result of my having taught a 'nonmeasure theoretic' course in probability and stochastic processes a few times at the Weizmann Institute in Israel. I have tried to follow two principles. The first is to prove things 'probabilistically' whenever possible without recourse to other branches of mathematics and in a notation that is as 'probabilistic' as possible. Thus, for example, the asymptotics of pn for large n, where P is a stochastic matrix, is developed in Section V by using passage probabilities and hitting times rather than, say, pulling in Perron Frobenius theory or spectral analysis. Similarly in Section II the joint normal distribution is studied through conditional expectation rather than quadratic forms. The second principle I have tried to follow is to only prove results in their simple forms and to try to eliminate any minor technical com putations from proofs, so as to expose the most important steps. Steps in proofs or derivations that involve algebra or basic calculus are not shown; only steps involving, say, the use of independence or a dominated convergence argument or an assumptjon in a theorem are displayed. For example, in proving inversion formulas for characteristic functions I omit steps involving evaluation of basic trigonometric integrals and display details only where use is made of Fubini's Theorem or the Dominated Convergence Theorem. 236 pp. Englisch.
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In den WarenkorbZustand: New. PRINT ON DEMAND pp. xii + 205.
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In den WarenkorbZustand: New. Print on Demand pp. xii + 205.