maximum likelihood

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maximum likelihood

n
1. (Statistics) the probability of randomly drawing a given sample from a population maximized over the possible values of the population parameters
2. (Statistics) the non-Bayesian rule that, given an experimental observation, one should utilize as point estimates of parameters of a distribution those values which give the highest conditional probability to that observation, irrespective of the prior probability assigned to the parameters
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The maximum likelihood estimate of allele frequencies at the ABO locus showed that A[p] allele was the lowest in DI Khan (0.
This condition guarantees that every generated data sample has the maximum likelihood estimate [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], which is obtained using the procedure we proposed in the "A Procedure for Estimating Parameters of Truncated Lognormal Distribution" section.
Styan, "On the existence and uniqueness of the maximum likelihood estimate of a vector-valued parameter in fixed-size samples," The Annals of Statistics, vol.
The parameters of Ordinary Least Square (OLS) estimates and Maximum Likelihood Estimates (MLE) were computed using Cobb-Douglas stochastic production frontier model to measure the technical efficiency of Parliament for a randomly selected eight Asian countries.
Some questions arise upon the foregoing: If we know a certain amount of zeros observations in the sample, are the usual maximum likelihood estimates reliable?
OBJECTIVES: We obtained maximum likelihood estimates of the common national effects of the criteria pollutants on mortality based on time-series data from [less than or equal to] 108 metropolitan areas in the United States.
The maximum likelihood estimates of the parameters in the Cobb-Douglas stochastic frontier profit model defined equation 6, given the specification for profit inefficiency effects defined by equation 8, were obtained using a computer programme, Frontier 4.
In the first stage, maximum likelihood estimates of GARCH type models are obtained for the margins.
Suppose that for the observed sample, in a local neighborhood around the maximum likelihood estimate [?
Assuming homogeneity of variance-covariance matrices across groups, its maximum likelihood estimate is given by
In the three experiments, the maximum likelihood estimates of the competition parameter for one of the species were higher than one and less than one for the other species (Table 3), suggesting that in all experiments there were a "strong" and a "weak competitor.
The maximum likelihood estimate of male abundance with model 2 (Table 2) was 16.

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