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单词 Maximum Likelihood
释义

Maximum Likelihood

The procedure of finding the value of one or more parameters for a given statistic which makes the knownLikelihood distribution a Maximum. The maximum likelihood estimate for a parameter is denoted.


For a Bernoulli Distribution,

(1)

so maximum likelihood occurs for . If is not known ahead of time, the likelihood function is


 
  
 (2)

where or 1, and , ..., .
(3)


(4)


(5)


(6)


For a Gaussian Distribution,


(7)


(8)


(9)

gives
(10)


(11)

gives
(12)

Note that in this case, the maximum likelihood Standard Deviation is the sample Standard Deviation, whichis a Biased Estimator for the population Standard Deviation.


For a weighted Gaussian Distribution,


(13)


(14)


(15)

gives
(16)

The Variance of the Mean is then
(17)

But
(18)

so
 
 (19)


For a Poisson Distribution,

(20)


(21)


(22)


(23)

See also Bayesian Analysis


References

Press, W. H.; Flannery, B. P.; Teukolsky, S. A.; and Vetterling, W. T. ``Least Squares as a Maximum Likelihood Estimator.'' §15.1 in Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2nd ed. Cambridge, England: Cambridge University Press, pp. 651-655, 1992.


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更新时间:2024/11/15 2:19:08