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Topics in contemporary probability and its applications
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ISBN: 0849380731 Year: 1995 Publisher: Boca Raton CRC Press

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Probability theory has grown from a modest study of simple games of change to a subject with application in almost every branch of knowledge and science. In this exciting book, a number of distinguished probabilists discuss their current work and applications in an easily understood manner. Chapters show that new directions in probability have been suggested by the application of probability to other fields and other disciplines of mathematics. The study of polymer chains in chemistry led to the study of self-avoiding random walks; the study of the Ising model in physics and models for epidemics in biology led to the study of the probability theory of interacting particle systems. The stochastic calculus has allowed probabilists to solve problems in classical analysis, in theory of investment, and in engineering. The mathematical formulation of game theory has led to new insights into decisions under uncertainty. These new developments in probability are vividly illustrated throughout the book.


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Quality control : Principles and practice in the microbiology laboratory
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ISBN: 0901144312 9780521439831 Year: 1992 Publisher: London Public health laboratory service

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Markov random fields and their applications
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ISBN: 0821850016 0821833812 9780821850015 Year: 1980 Volume: 1 Publisher: Providence (R.I.): American mathematical society,

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Premiers chemins de fer
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Year: 1966 Publisher: Paris : Hachette,

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Keywords

Railroads --- History.


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Mathematical models in the social sciences
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ISBN: 0262110474 9780262110471 Year: 1973 Publisher: Cambridge, Mass.: MIT Press,

Finite mathematics with business applications
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ISBN: 0133173216 9780133173215 Year: 1972 Publisher: Englewood Cliffs: Prentice Hall,

Denumerable Markov chains
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ISBN: 0387901779 1468494570 1468494554 Year: 1976 Volume: 40 Publisher: New York, N.Y. Springer

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This textbook provides a systematic treatment of denumerable Markov chains, covering both the foundations of the subject and some in topics in potential theory and boundary theory. It is a discussion of relations among what might be called the descriptive quantities associated with Markov chains-probabilities of events and means of random variables that give insight into the behavior of the chains. The approach, by means of infinite matrices, simplifies the notation, shortens statements and proofs of theorems, and often suggests new results. This second edition includes the new chapter, Introduction to Random Fields, written by David Griffeath.


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Physics : concepts and models
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Year: 1972 Publisher: London : Addison-Wesley,

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Keywords

Physics. --- Textbooks.

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