rozanov y a (31 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.

Zustand: Good. Used book that is in clean, average condition without any missing pages.

paperback. Zustand: VERY GOOD. 148 clean, unmarked, tight pages; very light shelf and corner wear on cover.

Paperback. Zustand: G. Clean, light edge wear. 148 pages; Dover Books On Mathematics;

Zustand: Very good.

20pp, 2 figs, Printed Card Cover, VGC, All our offprints are original printed matter 'as issued' with bound card covers, they not modern reprints or photocopies.

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,550grams, ISBN:0387907084.

IX/146 S./pp., Originalleineneinband (publisher's cloth binding), Bibliotheksexemplar in gutem Zustand / exlibrary in good condition (Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents fine, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, nicht in Folie eingeschlagen / not wrapped up in foil), Sprache: englisch.

X/275 S./pp., Originalpappband (publisher's cardboard covers), Bibliotheksexemplar in gutem Zustand / exlibrary in good condition (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), (Applications of Mathematics 9), Sprache: englisch.

Zustand: BUONO USATO. Dover books on advanced mathematics INGLESE Volume appartenente alla collana Dover Books on advanced mathematics. Traduzione a cura di Richard A. Silverman. Copertina usurata agli angoli, ai margini e al dorso, sia alle estremità che sulla lunghezza. Presenti pieghe al piatto superiore e sulla lunghezza del dorso. Pagine ben salde alla cerniera, con ampio margine. Presente segno a penna nera alla controguardia superiore. Numero pagine 148.

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. Inhaltsverzeichnisrnrn1 BASIC CONCEPTSn 1. Probability and Relative Frequencyn 2. Rudiments of Combinatorial Analysisn Problemsn2 COMBINATION OF EVENTSn 3. Elementary Events. The Sample Spacen 4. The Addition Law for Probabilitiesn Pro.

Hardcover. Zustand: Good. 0387907084 Good; Hardcover; Withdrawn library copy with the standard library markings; Moderate wear to the covers; Library stamps to the endpapers; Text pages are clean & unmarked; Good binding with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Yellow covers with title in red lettering; 1982, Springer-Verlag Publishing; 201 pages; "Markov Random Fields (Applications of Mathematics)," by Y.A. Rozanov.

Auflage: 1982. 201 Seiten Einband mit leichten Lagerspuren, kleiner Besitzerstempel, Papier nachgebräunt, sonst sauber und gut erhalten. Sprache: Englisch Gewicht in Gramm: 472 24,8 x 1,7 x 1,9 cm, Gebundene Ausgabe.

Zustand: Gut. 1. Edition;. Gr.8° Orig.-Pappband; 650g; [Englisch]; Rücken ausgeblichen, sonst kaum Gebrauchsspuren // spine faded, otherwise fine 1. Edition; [lgr=L] _ x2x_. BUCH.

Taschenbuch. Zustand: Neu. Probability Theory: A Concise Course | Y. A. Rozanov | Taschenbuch | Dover Books on Mathematics | Kartoniert / Broschiert | Englisch | 1977 | DOVER PUBN INC | EAN 9780486635446 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the phase state of the process and refers to the independence of the behavior of the process in the future from its behavior in the past, given knowledge of its state at the present moment. Extension to a generalized random process immediately raises nontrivial questions about the definition of a suitable' phase state,' so that given the state, future behavior does not depend on past behavior. Attempts to translate the Markov property to random functions of multi-dimensional 'time,' where the role of 'past' and 'future' are taken by arbitrary complementary regions in an appro priate multi-dimensional time domain have, until comparatively recently, been carried out only in the framework of isolated examples. How the Markov property should be formulated for generalized random functions of several variables is the principal question in this book. We think that it has been substantially answered by recent results establishing the Markov property for a whole collection of different classes of random functions. These results are interesting for their applications as well as for the theory. In establishing them, we found it useful to introduce a general probability model which we have called a random field. In this book we investigate random fields on continuous time domains. Contents CHAPTER 1 General Facts About Probability Distributions 1.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the phase state of the process and refers to the independence of the behavior of the process in the future from its behavior in the past, given knowledge of its state at the present moment. Extension to a generalized random process immediately raises nontrivial questions about the definition of a suitable' phase state,' so that given the state, future behavior does not depend on past behavior. Attempts to translate the Markov property to random functions of multi-dimensional 'time,' where the role of 'past' and 'future' are taken by arbitrary complementary regions in an appro priate multi-dimensional time domain have, until comparatively recently, been carried out only in the framework of isolated examples. How the Markov property should be formulated for generalized random functions of several variables is the principal question in this book. We think that it has been substantially answered by recent results establishing the Markov property for a whole collection of different classes of random functions. These results are interesting for their applications as well as for the theory. In establishing them, we found it useful to introduce a general probability model which we have called a random field. In this book we investigate random fields on continuous time domains. Contents CHAPTER 1 General Facts About Probability Distributions 1.

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:013501932X.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 277 | Sprache: Englisch | Produktart: Bücher | The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute continuity (equivalence) of probability distributions of a "random process segment" and of finding effective formulas for densities of the equiva­ lent distributions. Our second problem is to describe the classes of spectral measures corresponding in some sense to regular stationary processes (in par­ ticular, satisfying the well-known "strong mixing condition") as well as to describe the subclasses associated with "mixing rate". The third problem involves estimation of an unknown mean value of a random process, this random process being stationary except for its mean, i. e. , it is the problem of "distinguishing a signal from stationary noise". Furthermore, we give here auxiliary information (on distributions in Hilbert spaces, properties of sam­ ple functions, theorems on functions of a complex variable, etc. ). Since 1958 many mathematicians have studied the problem of equivalence of various infinite-dimensional Gaussian distributions (detailed and sys­ tematic presentation of the basic results can be found, for instance, in [23]). In this book we have considered Gaussian stationary processes and arrived, we believe, at rather definite solutions. The second problem mentioned above is closely related with problems involving ergodic theory of Gaussian dynamic systems as well as prediction theory of stationary processes.

Zustand: New. The book deals mainly with three problems involving Gaussian stationary processes. The first problem consists of clarifying the conditions for mutual absolute continuity (equivalence) of probability distributions of a random process segment and of finding.

190 pp., 62 pls, hardcover gr. 8.