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maximum likelihood estimation

NOUN
[STATISTICS.]

1.

a method of estimating population characteristics from a sample by choosing the values of the parameters that will maximize the probability of getting the particular sample actually obtained from the population.

Source:
Dictionary.com

maximum likelihood estimation | Define maximum likelihood estimation at Dictionary.com

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en.wikipedia.org/wiki/Maximum_likelihood_estimation

In statistics,

onlinecourses.science.psu.edu/stat414/node/191

(So, do you see from where the name "maximum likelihood" comes?) So, that is,
in a nutshell, the idea behind the method of

www.ask.com/youtube?q=Maximum Likelihood Estimation&v=I_dhPETvll8

Oct 9, 2013 ... This video introduces the concept of Maximum Likelihood estimation , by means
of an example using the Bernoulli distribution. Check out ...

www.itl.nist.gov/div898/handbook/apr/section4/apr412.htm

There is nothing visual about the

www.math.uah.edu/stat/point/Likelihood.html

In this case, the maximum likelihood problem is to maximize a function of ..... In
the following subsections, we will study

mathworld.wolfram.com/MaximumLikelihood.html

Maximum likelihood, also called the maximum likelihood method, is the
procedure of finding the value of ... The

stats.stackexchange.com/questions/112451/maximum-likelihood-estimation-mle-in-layman-terms

Aug 19, 2014

times.cs.uiuc.edu/course/410/note/mle.pdf

Tutorial on