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[[Category:ECE662Spring2012Boutin]] | [[Category:ECE662Spring2012Boutin]] | ||
[[Category:blog]] | [[Category:blog]] | ||
| + | [[Category:maximum likelihood estimation]] | ||
=Lecture 13 Blog, [[ECE662]] Spring 2012, [[user:mboutin|Prof. Boutin]]= | =Lecture 13 Blog, [[ECE662]] Spring 2012, [[user:mboutin|Prof. Boutin]]= | ||
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Quick link to lecture blogs: [[Lecture1ECE662S12|1]]|[[Lecture2ECE662S12|2]]|[[Lecture3ECE662S12|3]]|[[Lecture4ECE662S12|4]]|[[Lecture5ECE662S12|5]]|[[Lecture6ECE662S12|6]]|[[Lecture7ECE662S12|7]]|[[Lecture8ECE662S12|8]]| [[Lecture9ECE662S12|9]]|[[Lecture10ECE662S12|10]]|[[Lecture11ECE662S12|11]]|[[Lecture12ECE662S12|12]]|[[Lecture13ECE662S12|13]]|[[Lecture14ECE662S12|14]]|[[Lecture15ECE662S12|15]]|[[Lecture16ECE662S12|16]]|[[Lecture17ECE662S12|17]]|[[Lecture18ECE662S12|18]]|[[Lecture19ECE662S12|19]]|[[Lecture20ECE662S12|20]]|[[Lecture21ECE662S12|21]]|[[Lecture22ECE662S12|22]]|[[Lecture23ECE662S12|23]]|[[Lecture24ECE662S12|24]]|[[Lecture25ECE662S12|25]]|[[Lecture26ECE662S12|26]]|[[Lecture27ECE662S12|27]]|[[Lecture28ECE662S12|28]]|[[Lecture29ECE662S12|29]]|[[Lecture30ECE662S12|30]] | Quick link to lecture blogs: [[Lecture1ECE662S12|1]]|[[Lecture2ECE662S12|2]]|[[Lecture3ECE662S12|3]]|[[Lecture4ECE662S12|4]]|[[Lecture5ECE662S12|5]]|[[Lecture6ECE662S12|6]]|[[Lecture7ECE662S12|7]]|[[Lecture8ECE662S12|8]]| [[Lecture9ECE662S12|9]]|[[Lecture10ECE662S12|10]]|[[Lecture11ECE662S12|11]]|[[Lecture12ECE662S12|12]]|[[Lecture13ECE662S12|13]]|[[Lecture14ECE662S12|14]]|[[Lecture15ECE662S12|15]]|[[Lecture16ECE662S12|16]]|[[Lecture17ECE662S12|17]]|[[Lecture18ECE662S12|18]]|[[Lecture19ECE662S12|19]]|[[Lecture20ECE662S12|20]]|[[Lecture21ECE662S12|21]]|[[Lecture22ECE662S12|22]]|[[Lecture23ECE662S12|23]]|[[Lecture24ECE662S12|24]]|[[Lecture25ECE662S12|25]]|[[Lecture26ECE662S12|26]]|[[Lecture27ECE662S12|27]]|[[Lecture28ECE662S12|28]]|[[Lecture29ECE662S12|29]]|[[Lecture30ECE662S12|30]] | ||
---- | ---- | ||
| − | Today we | + | Today we talked about Maximum Likelihood Estimation (MLE) of the parameters of a distribution. |
| + | |||
| + | ==Relevant Rhea Pages== | ||
| + | *[[MLE_Examples:_Binomial_and_Poisson_Distributions_OldKiwi|MLE example: binomial and poisson distributions]] | ||
| + | *[[MLE_Examples:_Exponential_and_Geometric_Distributions_OldKiwi|MLE example: exponential and geometric distributions]] | ||
Previous: [[Lecture12ECE662S12|Lecture 12]] | Previous: [[Lecture12ECE662S12|Lecture 12]] | ||
Latest revision as of 08:54, 23 April 2012
Lecture 13 Blog, ECE662 Spring 2012, Prof. Boutin
Tuesday February 21, 2012 (Week 7)
Quick link to lecture 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
Today we talked about Maximum Likelihood Estimation (MLE) of the parameters of a distribution.
Relevant Rhea Pages
- MLE example: binomial and poisson distributions
- MLE example: exponential and geometric distributions
Previous: Lecture 12
Next: Lecture 14
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