Maximum Likelihood Estimates
MLEP: an R package for exploring the maximum likelihood estimates of penetrance parameters
... that maximum likelihood estimates are obtained for all parameters ...evaluated maximum likelihood estimate of penetrance parameters is therefore affected by the estimates of both ...
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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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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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On Maximum Likelihood Estimates for the Shape Parameter of the Generalized Pareto Distribution
... of maximum likelihood estimator of the GPD parameter have been studied in many articles including the important works of Davison [2] and ...the maximum likelihood estimators have a consistent ...
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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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Maximum likelihood estimates of pairwise rearrangement distances
... This paper introduces a maximum likelihood estimator for the evolutionary distance between two genomes under a large-scale genome rearrangement model. One may view this as a correction method for a family ...
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Simple Penalties on Maximum-Likelihood Estimates of Genetic Parameters to Reduce Sampling Variation
... unpenalized likelihood in the validation ...the maximum of a fairly flat likelihood surface for analyses involving many traits and not so large data ...(unpenalized) likelihood equivalent to a ...
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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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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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On the folded normal distribution
... the maximum likelihood estimates (for an introduction, see [1]), with examples from simulated data given for illustration ...the estimates with and without bootstrap calibration in low sample ...
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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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Failure Process Modeling with Censored Data in Accelerated Life Tests
... the likelihood function based on parameters, the ones that are most consistent with the observed samples will be ...the maximum likelihood parameter estimation is to determine the parameter values ...
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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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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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Profit Efficiency among Paddy Farmers: A Cobb-Douglas Stochastic Frontier Production Function Analysis
... A multiple regression model based on Stochastic Frontier Profit Function which assumed Cobb-Douglass specification form was estimated using a cross-sectional data obtained from a sample of 397 Paddy households via ...
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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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Combining Likelihood Information from Independent Investigations
... many likelihood-based asymptotic methods have been developed to produce highly accurate ...standardized maximum likelihood estimate departure calculated in the canonical parameter ...combine ...
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The Dual of the Maximum Likelihood
... The Maximum Likelihood method estimates the parameter values of a statistical model that maximizes the corresponding likelihood function, given the sample ...the Maximum Likelih- ood ...
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Statistical analysis of heaped duration data
... (standard) maximum likelihood techniques would yield maximum likelihood estimates (MLE), along with variances, of the parameters of interest as well as of the heaping ...data’ ...
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Determinants of Land Contracts and Efficiency in Ethiopia: The Case of Libokemkem District of Amhara Region
... of maximum likelihood estimates the effect of various factors on total operated fields was ...examined.The maximum likelihood result indicates that oxen own- ership; family size, age, and ...
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