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Material Detail

Lecture 11: Renewals: Strong Law and Rewards

Lecture 11: Renewals: Strong Law and Rewards

This video was recorded at 6.262 Discrete Stochastic Processes. This lecture begins with the SLLN and the central limit theorem for renewal processes. This is followed by the time-average behavior of reward functions such as residual life.
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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