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Introduction Probability Stochastic Processes by Berger Marc (31 results)
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An Introduction to Probability and Stochastic Processes (Springer Texts in Statistics) Berger, Marc A.
Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United Kingdom
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Condition: Very Good. Spine of cover has slightly faded and some minor shelf wear. Also inscriptions on fep but content is fine.
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£ 13.28
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Add to basketHardcover. Condition: Very Good. No Jacket. Former library book; Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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An Introduction to Probability and Stochastic Processes (Springer Texts in Statistics)
Published by Springer 12.11.1992., 1992
ISBN 10: 0387977848 ISBN 13: 9780387977843
Language: English
£ 24.03
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Add to basketCondition: Sehr gut. 205 Seiten nice ex Library book Sprache: Englisch Gewicht in Gramm: 469 23,6 x 15,4 x 1,6 cm, Gebundene Ausgabe.
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An Introduction to Probability and Stochastic Processes (Springer Texts in Statistics).
Published by New York Inc.: Springer-Verlag, 1993
ISBN 10: 0387977848 ISBN 13: 9780387977843
Language: English
£ 22.63
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Add to basketgebundene Ausgabe. Condition: Sehr gut. Zust: Gutes Exemplar. XII, 205 Seiten Englisch 488g.
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An Introduction to Probability and Stochastic Processes (Springer Texts in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 12.27
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Add to basketHardcover. Condition: 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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£ 48.63
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Add to basketPaperback or Softback. Condition: New. An Introduction to Probability and Stochastic Processes 0.74. Book.
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£ 46.37
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£ 51.16
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Add to basketTaschenbuch. Condition: 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.
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An Introduction to Probability and Stochastic Processes (Springer Texts in Statistics)
Seller: Midtown Scholar Bookstore, Harrisburg, PA, U.S.A.
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Add to baskethardcover. Condition: Good. No dust jacket. Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.
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An Introduction to Probability and Stochastic Processes
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£ 65.93
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An Introduction to Probability and Stochastic Processes [Springer Texts in Statistics]
Published by Springer-Verlag, New York, 1993
ISBN 10: 0387977848 ISBN 13: 9780387977843
Language: English
£ 48.31
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Add to basketHardcover. Condition: New. 8vo, hardcover. No dj, as issued. NEW. Bright, crisp & clean, unread; covers glossy. xii, 205 p.
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Paperback. Condition: Brand New. reprint edition. 217 pages. 9.06x6.06x0.55 inches. In Stock.
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An Introduction to Probability and Stochastic Processes
Published by Springer-Verlag GmbH & Co. KG
ISBN 10: 3540977848 ISBN 13: 9783540977841
Language: English
£ 63.18
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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An Introduction to Probability and Stochastic Processes (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461276438 ISBN 13: 9781461276432
Language: English
£ 48.41
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Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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£ 10.22
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Add to baskethardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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An Introduction to Probability and Stochastic Processes (Paperback)
Published by Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461276438 ISBN 13: 9781461276432
Language: English
£ 91.41
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Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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£ 46.01
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Add to basketCondition: Fine. Number of pages: 205 Size: Hardcover.
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An Introduction to Probability and Stochastic Processes
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1461276438 ISBN 13: 9781461276432
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 364.
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Add to basketCondition: 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.
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Condition: New. Print on Demand pp. xii + 205.
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An Introduction to Probability and Stochastic Processes
Published by Springer New York, Springer US Sep 2011, 2011
ISBN 10: 1461276438 ISBN 13: 9781461276432
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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£ 48.03
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Add to basketTaschenbuch. Condition: 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.
