maximum likelihood (hit) estimates
Maximum likelihood estimates of pairwise rearrangement distances
... a maximum likelihood estimator for the inversion distance between a pair of genomes, using a group-theoretic approach to modelling inversions introduced ...distance estimates are free from any a ...
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MLEP: an R package for exploring the maximum likelihood estimates of penetrance parameters
... the likelihood vectors have been computed, the problem reduces to one of optimiza- ...The maximum likelihood estimates of penetrance parameters are then readily obtained by maximizing the ...
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Exchange Rate Pass-Through for Australian Manufactured Imports: Estimates from the Johansen Maximum-Likelihood Procedure
... provides estimates of exchange rate pass-through for Australian imports of manufactures covering the period 1981q3 to ...provide estimates of pass- through based on Johansen's (1988) Maximum ...
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Simple Penalties on Maximum-Likelihood Estimates of Genetic Parameters to Reduce Sampling Variation
... Multivariate estimates of genetic parameters are subject to substantial sampling variation, especially for smaller data sets and more than a few ...standard, maximum-likelihood procedures for ...
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Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors
... computing maximum likelihood estimates in the subclass of ‘bow-free’ recursive linear ...exact maximum likelihood estimates after the first iteration whenever the MLE is ...
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Parameter redundancy and the existence of maximum likelihood estimates in log linear models
... constraints that hold this equality for finite values of the model parame- ters, are the esoteric constraints. These extra constraints along with the estimable quantities in θ 0 , may make more parameters estimable and ...
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On Maximum Likelihood Estimates for the Shape Parameter of the Generalized Pareto Distribution
... γ have been proposed in many articles including the important works like Hosking and Wallis [10] for the parameter space to ( ) 1/ 2 < < − γ ( 1/ 2 ) and Grimshaw [7] for extreme value index, the shape parameter γ ...
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Robustness of maximum likelihood estimates for mixed Poisson regression models
... Gustafson (1996) used an influence function approach (Hampel et al., 1986) (Huber, 1981) to examine the robustness of maximum likelihood estimates for certain conjugate mixture models un[r] ...
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Deriving generalized means as least squares and maximum likelihood estimates
... generalized means can be derived in a unified way, as least squares estimates for a transformed data.. set.[r] ...
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A General Procedure for Obtaining Maximum Likelihood Estimates in Generalized Regression Models
... This procedure, long known to the and calculate a new value of p, pAO, profession as the Cochran-Orcutt iterative method, represents a convenient way of calculating the maximum likelihoo[r] ...
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Testing a multivariate process for a unit root using unconditional likelihood
... Unlike the stationary case where least squares and exact maximum likelihood estimates converge to the same normal distribution, the estimates and test statistics converge to different di[r] ...
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Some New Aspects of Statistical Inference for Multistage Dose-Response Models with Applications
... the maximum likelihood estimates of all parameters based on Z under the condition that some of the parameters may lie on the boundary, and derive their joint and marginal ...
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Age, extent and carbon storage of the central Congo Basin peatland complex
... the maximum likelihood classification with the estimated carbon storage per unit area derived from peat depth, bulk density and carbon concentration ...had estimates of bulk density and carbon ...
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On the folded normal distribution
... the estimates using numerical optimization based on the simplex method ...obtaining maximum likelihood estimates of the folded normal, but we have not used it ...
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Behrens-Fisher Analogs for Discrete and Survival Data
... the maximum likelihood estimates of the ...the maximum likelihood estimates of the parameters several methods of moments estimators are proposed by different ...
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Maximum Likelihood with Auxiliary Information
... Not surprisingly, the results set out in Table 1 support our earlier comment that estimation of α should benefit most from inclusion of the extra information about the population mean of Y. It is also clear that the full ...
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Maximum-Likelihood Estimation of Relatedness
... the average (as described above) if both locus-specific To determine the statistical behavior of each estima- values are defined and the defined value if only one is tor under each condition, sets of 1000 replicate ...
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On Maximum Likelihood Estimation for Left Censored Burr Type III Distribution
... the maximum likelihood estimation of the parameters for Burr type iii distribution under left censored ...the estimates have been investigated with respect to sample sizes, true parametric values and ...
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The Dual of the Maximum Likelihood
... the Maximum Likelihood method (under normality) and in giving it an intuitive economic interpretation that corresponds to the maximiza- tion of the net value of sample ...the Maximum ...
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A new method of inference of ancestral nucleotide and amino acid sequences.
... A model of nucleotide or amino acid substitution was employed to analyze data of the present-day sequences, and maximum likelihood estimates of parameters such as bra[r] ...
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