likelihood

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likelihood

[′līk·lē‚hu̇d]
(mathematics)
The likelihood of a sample of independent values of x1, x2, … , xn , with ƒ(x) the probability function, is the product ƒ(x1) - ƒ(x2) - ⋯ - ƒ(xn ).
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Therefore, using the exponentiated Weibull distribution, we computed the maximum likelihood estimates and the predictive value for 25% (see Table 4).
70 90 96 97 99 100 103 104 104 105 107 109 112 112 113 114 114 114 116 119 120 120 124 124 124 124 124 128 128 129 129 130 130 131 131 132 132 132 133 134 134 134 134 134 138 138 139 139 141 141 142 142 142 142 142 146 148 148 149 151 151 152 155 156 157 157 162 163 163 164 166 166 168 170 174 196 212 70 108 108 108 109 109 120 121 121 123 124 130 131 131 131 131 136 136 137 138 138 142 144 144 145 146 157 157 158 159 162 Table 3: Maximum likelihood estimates and goodness-of-fit statistics.
For each sampled stock and stock index, the first row and the second row present maximum likelihood estimates and corresponding standard errors of model (4), respectively.
Maximum likelihood estimates of production frontier: The results indicate that, the coefficients of operating land variables for both LUWG and LCWG were 0.023 and 0.076 respectively (See table 3).
If A [greater than or equal to] 1, then the method of moments and the maximum likelihood estimates of the parameters ([mu], [sigma]) for the data sample ([[gamma].sub.1], ..., [[gamma].sub.n]) cannot be obtained.
The results indicate that the retention likelihood for lateral entry teachers is significantly lower than the retention likelihood for NC Teach teachers in Years 2, 3, and 7 (maximum likelihood estimates = -1.289, Wald [chi square] = 6.56, p = .01 for Year 2; maximum likelihood estimates = -1.442, Wald [chi square] = 10.656, p = .001 for Year 3; maximum likelihood estimates = -1.259, Wald [chi square] = 9.415, p = .002 for Year 7).
Results of Maximum likelihood estimates of selected distribution models for Household
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.
Maximum Likelihood Estimates. The maximum likelihood estimates, MLEs, of the parameters that are inherent within the beta-Lindley distribution function are obtained as follows.
In Section 3, a variance shift model for the linear measurement error model is derived and the joint corrected maximum likelihood estimates are characterized.
The maximum likelihood estimates provided consistent estimators for coefficients, technical inefficiency measures and variance for details (see Jondrow et al.
Various genetic parameters including maximum likelihood estimates of allelic frequencies, Hardy-Weinberg Equilibrium, locus specific and combined heterozygosities, and phenotypic and allelic variances, were investigated to understand population dynamics.

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