Description
Product ID: | 9780486493039 |
Product Form: | Paperback / softback |
Country of Manufacture: | US |
Series: | Dover Books on Mathema 1.4tics |
Title: | A Graduate Course in Probability |
Authors: | Author: Howard G. Tucker, Meg Stone |
Page Count: | 288 |
Subjects: | Probability and statistics, Probability & statistics |
Description: | Select Guide Rating Suitable for a graduate course in analytic probability, this text covers probability spaces and distributions, stochastic independence, strong limit theorems for independent random variables, stochastic processes, and much more. 1967 edition. Suitable for a graduate course in analytic probability, this text requires only a limited background in real analysis. Topics include probability spaces and distributions, stochastic independence, basic limiting options, strong limit theorems for independent random variables, central limit theorem, conditional expectation and Martingale theory, and an introduction to stochastic processes. |
Imprint Name: | Dover Publications Inc. |
Publisher Name: | Dover Publications Inc. |
Country of Publication: | GB |
Publishing Date: | 2014-01-31 |