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| − | In Lecture 27, | + | In Lecture 27, we defined the moment generating function of a random variable (continuous or discrete) and explored how it is related to the moments of the random variable. We also discussed the problem of recovering the pdf/pmf of a random variable from its moment generating function. |
==Action items for students (to be completed before next lecture)== | ==Action items for students (to be completed before next lecture)== | ||
| + | *Read Section 5.8 in the textbook. | ||
| + | *Solve the following practice problems and consider sharing your solution for discussion and feedback. (You will hand in your solution later as part of homework 6.) | ||
| + | **[[Practice_Question_characteristic_function_ECE302S13Boutin|Recover the pmf corresponding to this characteristic function]] | ||
| + | **[[Practice_Question_characteristic_function_exponential_random_variable_ECE302S13Boutin|Obtain the characteristic function of an exponential random variable]] | ||
| + | **[[Practice_Question_characteristic_linear_function_random_variable_ECE302S13Boutin|pdf of Y=aX+b ]] | ||
| + | |||
Previous: [[Lecture26_blog_ECE302S13_Boutin|Lecture 26]] | Previous: [[Lecture26_blog_ECE302S13_Boutin|Lecture 26]] | ||
Latest revision as of 08:39, 18 March 2013
Lecture 27 Blog, ECE302 Spring 2013, Prof. Boutin
Monday March 18, 2013 (Week 11) - See Course Outline.
(Other blogs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
In Lecture 27, we defined the moment generating function of a random variable (continuous or discrete) and explored how it is related to the moments of the random variable. We also discussed the problem of recovering the pdf/pmf of a random variable from its moment generating function.
Action items for students (to be completed before next lecture)
- Read Section 5.8 in the textbook.
- Solve the following practice problems and consider sharing your solution for discussion and feedback. (You will hand in your solution later as part of homework 6.)
Previous: Lecture 26
Next: Lecture 28
