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Probability and Measure Patrick Billingsley

Probability and Measure By Patrick Billingsley

Probability and Measure by Patrick Billingsley


$32.55
Condition - Good
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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 Summary

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.

Table of Contents

Probability; Measure; Integration; Random Variables and Expected Values; Convergence of Distributions; Derivatives and Conditional Probability; Stochastic Processes; Appendix; Notes of the Problems; Bibliography; List of Symbols; Index.

Additional information

CIN0471804789G
9780471804789
0471804789
Probability and Measure by Patrick Billingsley
Used - Good
Hardback
John Wiley and Sons Ltd
1986-01-17
636
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

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