maximum likelihood method
A maximum likelihood method for estimating genome length using genetic linkage data.
... We propose a maximum likelihood method for estimating this quantity from counts of recombinants and nonrecombinants between marker locus pairs studied from a backcross [r] ...
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A Maximum-Likelihood Method to Correct for Allelic Dropout in Microsatellite Data with No Replicate Genotypes
... our method at different levels of genotyping error from sources other than allelic ...our method is successful in estimating both sample-specific and locus- specific dropout rates (Figure 9, A and ...our ...
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On the extrema of integrable functions
... Abstract. This paper contains the definition of the extremum of integrable functions (e.g., the mode of density function). It seems to be a generalization of well-known stan- dard definition and can be applied in ...
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Two Parameter Laplace Type Bimodal Distribution
... This paper is on the distributional properties of the two parameter Laplace type bimodal distribution. The order statistic was also studies. In addition, inferential aspects like estimation of the parameters by ...
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Accuracy and Power of Statistical Methods for Detecting Adaptive Evolution in Protein Coding Sequences and for Identifying Positively Selected Sites
... parsimony method of Suzuki and Gojobori (1999) and the maximum likelihood method developed from the work of Nielsen and Yang (1998) are two widely used methods for detecting positive selection ...
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Three Parameter Laplace Type Bimodal Distribution
... using Method of moments, maximum likelihood method of estimation, Best linear unbiased estimation in estimating the parameters of the three parameter Laplace type bimodal distribution 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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Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models
... quasi maximum likelihood method to estimate the model and investigate the asymptotic properties of the quasi maximum likelihood estimators, including consistency, rates of convergence ...
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An Iterative Maximum Likelihood Synchronization Method for OFDM System
... iterative maximum likelihood method for ...proposed method can predict the time delay and frequency offset correctly even under the multipath fading ...
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Evaluation of relations between scales in an IRT framework
... highest likelihood for the responses is ...the maximum likelihood method; specifically the estimated trait level for a person maximizes the likelihood of his or her response pattern ...
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On The Comparison Of Methods Of Estimating Variance Components: A Case Of Gudali Beef Cattle
... Variance method (ANOVA), Quasi-maximum-likelihood method (QML), Modified likelihood method (ML), Restricted maximum-likelihood method (REML), and Modified ...
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Modeling the Distribution of Marketable Timber Products of Private Teak (Tectona grandis L f ) Plantations
... recovery method with the Weibull function for two sylvicultural regimes (coppice and high ...the maximum likelihood method, the method of moments and the method of ...The ...
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Generalised Lambda Distributions by Method of Moments and Maximum Likelihood using the JSE-ASI Returns
... assumed likelihood functions restrictive, and have suggested using a generalised version of Pearson’s MM approach, commonly known as GMM estimation procedure as advocated by Bera & Bilias (2002) and Hansen ...
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THE APPLICATION OF THE "METHOD OF MAXIMUM LIKELIHOOD" TO THE ESTIMATION OF LINKAGE
... F1cmv3.-A factor linked to one of two duplicate factors: Amount of information concerning linkage supplied per plant by a backcross to a triple recessive, and by an Fz, using ([r] ...
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Combining Likelihood Information from Independent Investigations
... proposed method gives results that is quite different from the results obtained by the Fisher’s way of combining ...proposed method with the Fisher’s method for the rate of arrival ...proposed ...
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Smoothing Algorithms by Constrained Maximum Likelihood
... constrained maximum likelihood, with a fair risk scale determined by constrained maximum likelihood, leading to more robust credit loss ...
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Maximum likelihood estimation of population parameters.
... Under the assumptions that sequences are infinitely long and that the scaled coalescent times can be estimated without error, FELSENSTEIN (1992) showed that the improvement [r] ...
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Efficient maximum likelihood pedigree reconstruction
... One approach to pedigree reconstruction using genotypic data is to find the pedigree having the maximum likelihood. This was developed by Thompson (1976) (see also (Thompson, 1986)) using age and sex ...
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Inference for the shape parameter of lognormal distribution in presence of fuzzy data
... the maximum likelihood estimate of the parameter and also construct the approximate confidence interval by using asymptotic normality of the ...via method of moments is ...
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Maximum likelihood estimates of pairwise rearrangement distances
... Bayesian method for phylogeny inference and offer a comparison between their approach and a parsimony approach; and Mikl´os and Darling (2009) provide a method to estimate the number of minimal ...
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