Probability and Measure by Patrick Billingsley

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Probability and Measure by Patrick Billingsley

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Part of Probability And Mathematical Statistics S series

Summary

The text begins with an introduction to Borel's normal number theorem. Coverage includes key topics in measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability and stochastic processes.

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Probability and Measure by Patrick Billingsley

Borel's normal number theorem, proved by calculus alone, followed by short sections that establish the existence and fundamental properties of probability measures, presenting lebesque measure on the unit interval. Coverage includes key topics in measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability and stochastic processes.

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Professor of Statistics and Mathematics at the University of Chicago, PATRICK BILLINGSLEY He coauthored Statistics for Management and Economics (with Watson et al.) and Statistics for Management and Economics (with D.

SKU Unavailable
ISBN 13 9780471804789
ISBN 10 0471804789
Title Probability and Measure
Author Patrick Billingsley
Series Probability And Mathematical Statistics S
Condition Unavailable
Binding Type Hardback
Publisher John Wiley and Sons Ltd
Year published 1986-01-17
Number of pages 636
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.