(New page: <br> <center><font size="4"></font> <font size="4">'''Maximum Likelihood Estimation (MLE) Analysis for various Probability Distributions''' <br> </font> <font size="2">A [https://www.pro...) |
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<font size="4">'''Maximum Likelihood Estimation (MLE) Analysis for various Probability Distributions''' <br> </font> <font size="2">A [https://www.projectrhea.org/learning/slectures.php slecture] by [http://web.ics.purdue.edu/~hseshadr/ Hariharan Seshadri]</font> | <font size="4">'''Maximum Likelihood Estimation (MLE) Analysis for various Probability Distributions''' <br> </font> <font size="2">A [https://www.projectrhea.org/learning/slectures.php slecture] by [http://web.ics.purdue.edu/~hseshadr/ Hariharan Seshadri]</font> | ||
| − | <font size="2">(partially based on Prof. [https://engineering.purdue.edu/~mboutin/ Mireille Boutin's] ECE [[ECE662|662]] lecture) </font> | + | <font size="2">(partially based on Prof. [https://engineering.purdue.edu/~mboutin/ Mireille Boutin's] ECE [[ECE662|662]] lecture) </font></center> |
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| + | ---- | ||
| + | ---- | ||
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| + | = What would be the learning outcome from this slecture? = | ||
| + | |||
| + | *Basic Theory behind Maximum Likelihood Estimation (MLE) | ||
| + | *Derivations for Maximum Likelihood Estimates for parameters of Exponential Distribution, Geometric Distribution, Binomial Distribution, Poisson Distribution, and Uniform Distribution | ||
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| − | + | == Introduction == | |
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| + | ---- | ||
Revision as of 17:47, 26 April 2014
Maximum Likelihood Estimation (MLE) Analysis for various Probability Distributions
A slecture by Hariharan Seshadri
What would be the learning outcome from this slecture?
- Basic Theory behind Maximum Likelihood Estimation (MLE)
- Derivations for Maximum Likelihood Estimates for parameters of Exponential Distribution, Geometric Distribution, Binomial Distribution, Poisson Distribution, and Uniform Distribution
