probability theory random processes von rozanov (52 Ergebnisse)

Hardcover. Zustand: Good. Ex-Library hardcover no dj (yellow boards) with all the usual markings, attachments, and library wear. Text block clean and unmarked. Tight binding.

hardcover. Zustand: VERY GOOD. Zustand des Schutzumschlags: NONE. 401 clean, unmarked, tight pages; very light soiling and sunning on sturdy cover.

hardcover. Zustand: as new. no jacket. 6 1/4 x 9 1/4" 401 pages plus publisher's list. Die Grundlehrender m,athematischen Wissenschaften in Einzeldarstellungen Band 157. text is in English. translated by K. Krickeberg and H. Urmitzer.

XI/401 S./pp., Originalleineneinband (publisher's cloth binding), Bibliotheksexemplar in sehr gutem Zustand / exlibrary in excellent condition (Einband gering gebrauchsspurig / binding shows minor tear and wear, Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents fine, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, in Folie eingeschlagen / wrapped up in foil), (Die Grundlehren der mathematischen Wissenschaften in Einzeldarstellungen mit besonderer Berücksichtigung der Anwendungsgebiete 157), Sprache: englisch.

Zustand: New.

Hardcover. Zustand: new. Hardcover. The study of random phenomena encountered in the real world is based on probability theory, mathematical statistics and the theory of random processes. The choice of the most suitable mathematical model is made on the basis of statistical data collected by observations. These models provide numerous tools for the analysis, prediction and, ultimately, control of random phenomena. The first part of the present volume (Chapters 1-3) can serve as a self-contained, elementary introduction to probability, random processes and statistics. It contains a number of relatively simple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Some basic knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required. The second part (Chapters 4-6) provides a foundation for stochastic analysis, gives information on basic models of random processes and tools to study them. A certain familiarity with elements of functional analysis is necessary. Important material is presented in the form of examples to keep readers involved.This is a concise textbook for a graduate-level course, with carefully selected topics representing the most important areas of modern probability, random processes and statistics. Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New.

Paperback. Zustand: new. Paperback. Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. They develop rigorous models for a proper treatment for various 'random' phenomena which we encounter in the real world. They provide us with numerous tools for an analysis, prediction and, ultimately, control of random phenomena. Statistics itself helps with choice of a proper mathematical model (e.g., by estimation of unknown parameters) on the basis of statistical data collected by observations. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. The first part (Ch. 1-3) can serve as a self-contained, elementary introduction to Probability, Random Processes and Statistics. It contains a number of relatively sim ple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Only knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required here. The second part (Ch. 4-6) provides a foundation of Stochastic Analysis, gives information on basic models of random processes and tools to study them. Here a familiarity with elements of functional analysis is necessary. Our intention to make this course fast-moving made it necessary to present important material in a form of examples. Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

401 Seiten, Sprache: Englisch Gewicht in Gramm: 740 Groß 8°, Original-Leinen, Bibliotheks-Exemplar (ordnungsgemäß entwidmet) mit Kleberesten vom Rückenschild, Stempel auf Titel und auf Schnitt, Einband gering fleckig, innen sauber,

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:

Zustand: New. In.

Zustand: New. In.

PF. Zustand: New.

Zustand: New. pp. 272.

Zustand: New.

Zustand: New. pp. 272.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 10.25x6.75x1.00 inches. In Stock.

Zustand: New. In.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New.

Buch. Zustand: Neu. Neuware -Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. They develop rigorous models for a proper treatment for various 'random' phenomena which we encounter in the real world. They provide us with numerous tools for an analysis, prediction and, ultimately, control of random phenomena. Statistics itself helps with choice of a proper mathematical model (e.g., by estimation of unknown parameters) on the basis of statistical data collected by observations. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. The first part (Ch. 1-3) can serve as a self-contained, elementary introduction to Probability, Random Processes and Statistics. It contains a number of relatively sim ple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Only knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required here. The second part (Ch. 4-6) provides a foundation of Stochastic Analysis, gives information on basic models of random processes and tools to study them. Here a familiarity with elements of functional analysis is necessary. Our intention to make this course fast-moving made it necessary to present important material in a form of examples.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. They develop rigorous models for a proper treatment for various 'random' phenomena which we encounter in the real world. They provide us with numerous tools for an analysis, prediction and, ultimately, control of random phenomena. Statistics itself helps with choice of a proper mathematical model (e.g., by estimation of unknown parameters) on the basis of statistical data collected by observations. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. The first part (Ch. 1-3) can serve as a self-contained, elementary introduction to Probability, Random Processes and Statistics. It contains a number of relatively sim ple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Only knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required here. The second part (Ch. 4-6) provides a foundation of Stochastic Analysis, gives information on basic models of random processes and tools to study them. Here a familiarity with elements of functional analysis is necessary. Our intention to make this course fast-moving made it necessary to present important material in a form of examples.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. They develop rigorous models for a proper treatment for various 'random' phenomena which we encounter in the real world. They provide us with numerous tools for an analysis, prediction and, ultimately, control of random phenomena. Statistics itself helps with choice of a proper mathematical model (e.g., by estimation of unknown parameters) on the basis of statistical data collected by observations. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. The first part (Ch. 1-3) can serve as a self-contained, elementary introduction to Probability, Random Processes and Statistics. It contains a number of relatively sim ple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Only knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required here. The second part (Ch. 4-6) provides a foundation of Stochastic Analysis, gives information on basic models of random processes and tools to study them. Here a familiarity with elements of functional analysis is necessary. Our intention to make this course fast-moving made it necessary to present important material in a form of examples.