MTU Library Catalogue

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Modern probability theory and its applications / E. Parzen.

By: Parzen, Emanuel, 1929-.
Material type: materialTypeLabelBookSeries: Wiley publication in mathematical statistics.Publisher: New York : Wiley, [1960]Description: 464 p. : ill. ; 24 cm. + hbk.ISBN: 0471668257.Subject(s): Probabilities | Operations researchDDC classification: 519.2
Contents:
Probability theory as the study of mathematical models of random phenomena -- Basic probability theory -- Independence and dependence -- Numerical-valued random phenomena -- Mean and variance of a probability law -- Normal, poisson and related probability laws -- Random variables -- Expectation of a random variable -- Sums of independent random variables -- Sequences of random variables.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.2 (Browse shelf(Opens below)) 1 Available 00038473
Total holds: 0

Enhanced descriptions from Syndetics:

Mathematical probability theory is especially interesting to scientists and engineers. It introduces probability theory, showing how probability problems can be formulated mathematically to systematically attack routine methods. Topics include independence and dependence, probability laws and random variables. Over 500 exercises, an appendix of useful tables and answers to odd-numbered questions are also included.

Includes index.

Probability theory as the study of mathematical models of random phenomena -- Basic probability theory -- Independence and dependence -- Numerical-valued random phenomena -- Mean and variance of a probability law -- Normal, poisson and related probability laws -- Random variables -- Expectation of a random variable -- Sums of independent random variables -- Sequences of random variables.

Table of contents provided by Syndetics

  • Probability Theory as the Study of Mathematical Models of Random Phenomena
  • Basic Probability Theory
  • Independence and Dependence
  • Numerical-Valued Random Phenomena
  • Mean and Variance of a Probability Law
  • Normal, Poisson, and Related Probability Laws
  • Random Variables
  • Expectation of a Random Variable
  • Sums of Independent Random Variables
  • Sequences of Random Variables
  • Tables
  • Answers to Odd-Numbered Exercises
  • Index