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Ajouter au panierPaperback. Etat : Very Good. Unmarked trade paperback.
Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1983
ISBN 10 : 3540907572 ISBN 13 : 9783540907572
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Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1983
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Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1983
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Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1983
ISBN 10 : 3540907572 ISBN 13 : 9783540907572
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Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1983
ISBN 10 : 3540907572 ISBN 13 : 9783540907572
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Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1983
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Ajouter au panierPaperback. Etat : Brand New. 184 pages. 9.00x5.90x0.40 inches. In Stock.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - For most people, intuitive notions concerning probabilities are connected with relative frequencies of occurrence. For example, when we say that in toss ing a coin, the probability of its coming up 'heads' is 1/2, we usually mean that in a large number of tosses, about 1/2 of the tosses will come up heads. Unfortunately, relative frequency of occurrence has proved to be an unsatis factory starting point in defining probability. Although there have been attempts to make frequency of occurrence part of the axiomatic structure of probability theory, the currently accepted formu1ation is one based on measure theory due to Ko1mogorov. In this formulation frequency of occurrence is an interpretation for probability rather than adefinition. This inter pretation is justified under suitab1e conditions by the 1aw of 1arge numbers. The starting point of probability theory is usua11y taken to be an experi ment the outcome of which is not fixed apriori. Some fami1iar examples inc1ude tossing a die, observation of a noise vo1tage at a fixed time, the error in measuring a physica1 parameter, and the exact touchdown time of an aircraft. Let ~ denote the set of all possib1e outcomes of an experiment. For examp1e, for the experiment of tossing one die, ~ = {1, 2, 3, 4, 5, 6}, whi1e for the touchdown time of an aircraft, ~ might be chosen to be 0 ~ t 00. We note that for a given experiment on1y one outcome is ever observed.
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Ajouter au panierTaschenbuch. Etat : Neu. Introduction to Random Processes | E. Wong | Taschenbuch | viii | Englisch | 1983 | Springer New York | EAN 9780387907574 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer-Verlag New York Inc., 1983
ISBN 10 : 0387907572 ISBN 13 : 9780387907574
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 302.
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 1 Event and Probability.- 2 Random Variables.- 3 Random Sequences.- 4 Stochastic Processes.- 5 Frequency-Domain Analysis.- 6 Dynamical Systems.- 7 Likelihood Ratios and Applications.- Suggested Further Readings.- Exercises.For most people, intuitive not.
Edité par Springer New York Mrz 1983, 1983
ISBN 10 : 0387907572 ISBN 13 : 9780387907574
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For most people, intuitive notions concerning probabilities are connected with relative frequencies of occurrence. For example, when we say that in toss ing a coin, the probability of its coming up 'heads' is 1/2, we usually mean that in a large number of tosses, about 1/2 of the tosses will come up heads. Unfortunately, relative frequency of occurrence has proved to be an unsatis factory starting point in defining probability. Although there have been attempts to make frequency of occurrence part of the axiomatic structure of probability theory, the currently accepted formu1ation is one based on measure theory due to Ko1mogorov. In this formulation frequency of occurrence is an interpretation for probability rather than adefinition. This inter pretation is justified under suitab1e conditions by the 1aw of 1arge numbers. The starting point of probability theory is usua11y taken to be an experi ment the outcome of which is not fixed apriori. Some fami1iar examples inc1ude tossing a die, observation of a noise vo1tage at a fixed time, the error in measuring a physica1 parameter, and the exact touchdown time of an aircraft. Let ~ denote the set of all possib1e outcomes of an experiment. For examp1e, for the experiment of tossing one die, ~ = {1, 2, 3, 4, 5, 6}, whi1e for the touchdown time of an aircraft, ~ might be chosen to be 0 ~ t 00. We note that for a given experiment on1y one outcome is ever observed. 188 pp. Englisch.
Edité par Springer New York, Springer New York Mär 1983, 1983
ISBN 10 : 0387907572 ISBN 13 : 9780387907574
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -For most people, intuitive notions concerning probabilities are connected with relative frequencies of occurrence. For example, when we say that in toss ing a coin, the probability of its coming up 'heads' is 1/2, we usually mean that in a large number of tosses, about 1/2 of the tosses will come up heads. Unfortunately, relative frequency of occurrence has proved to be an unsatis factory starting point in defining probability. Although there have been attempts to make frequency of occurrence part of the axiomatic structure of probability theory, the currently accepted formu1ation is one based on measure theory due to Ko1mogorov. In this formulation frequency of occurrence is an interpretation for probability rather than adefinition. This inter pretation is justified under suitab1e conditions by the 1aw of 1arge numbers. The starting point of probability theory is usua11y taken to be an experi ment the outcome of which is not fixed apriori. Some fami1iar examples inc1ude tossing a die, observation of a noise vo1tage at a fixed time, the error in measuring a physica1 parameter, and the exact touchdown time of an aircraft. Let ~ denote the set of all possib1e outcomes of an experiment. For examp1e, for the experiment of tossing one die, ~ = {1, 2, 3, 4, 5, 6}, whi1e for the touchdown time of an aircraft, ~ might be chosen to be 0 ~ tSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch.