maximum likelihood estimate
The Topp-Leone Rayleigh Distribution with Application
... the maximum likelihood estimate of the unknown parameters (and the corresponding standard errors in parentheses) and the measure of goodness-of-fit tests that was used to verify which distribution ...
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Inference for the shape parameter of lognormal distribution in presence of fuzzy data
... the maximum likelihood estimate of the ...Bayes estimate, we have used Markov Chain Monte Carlo method with different types of prior ...and maximum likelihood estimates give ...
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Testing for equality of evolutionary rates.
... If the two parameter model (model I) is used on twofold degenerate sites, the estimate of transition rate is the maximum likelihood estimate of. the synonymous rate at tw[r] ...
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Smoothing Algorithms by Constrained Maximum Likelihood
... Acknowledgements: The author would like to thank both referees for suggesting the extended discussion to cover the case when default correlation is assumed, and the likelihood ratio test for the constrained ...
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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 method ...
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Measuring Financial Risk using Extreme Value Theory: evidence from Pakistan
... the parameter estimates, and from that extract the parameter standard er- rors. Which is 0 . 666 and 0 . 0012 for ξ, σ respectively. Interpretation of the standard errors usually involves assuming that, if the same fit ...
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A New Class of Generalized Burr III Distribution for Lifetime Data
... The maximum likelihood estimates (MLEs) of the GGBIII parameters J, , , and g are computed by maximizing the objective function via the sub-routine NLMIXED in ...of Likelihood Ratio test, ...
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Using interviewer random effects to remove selection bias from HIV prevalence estimates
... while maximum likelihood estimators are asymptotically unbiased and consistent, their small sample properties can be poor ...the maximum likeli- hood estimate in a related recursive bivariate ...
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Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models
... the maximum likelihood (ML) method and prove the average consistency of the maximum likelihood estimates ...accurately estimate the unobserved latent ...
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The Equivalence of the Maximum Likelihood and a Modified Least Squares for a Case of Generalized Linear Model
... Restricted likelihood function: It is well-known that the maximum likelihood estimates of the variance components are ...the estimate of the maximum likelihood we do not take ...
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Bayesian estimation of the reliability characteristic of Shanker distribution
... The layout of the paper is as follows: In “The maximum likelihood estimation” section, the maximum likelihood estimate(MLE) of the unknown parameter is obtained. The approximate and two ...
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ON TESTING WHETHER ONE LOCUS CAN ACCOUNT FOR THE GENETIC DIFFERENCE IN SUSCEPTIBILITY BETWEEN TWO HOMOZYGOUS LINES
... as 0 and 1 respectively, using the maximum likelihood estimate of a1 we obtain a x 2 value of 7.3, and using the modified minimum x 2 estimate the value is 7.6; in both [r] ...
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Maximum likelihood representation of MIPAS profiles
... this maximum likelihood representation it is not relevant whether the ideal representation of the profile requires an infinite number of values or just a too-large number of un- knowns for a well-posed ...
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GAML: genome assembly by maximum likelihood
... The model described above does not penalize obvious misassemblies when two contigs are joined together without any evidence in the reads. We have observed that to make the likelihood function applicable as an ...
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Quantitative genetic variation in body size of mice from new mutations.
... An analysis using an animal model with restricted maximum likelihood was applied to estimate a mutational genetic component of variance for the infinitesimal model of ma[r] ...
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Parameter estimations and copula methods for burr type III and type XII distributions
... to estimate the parameter, this study will focus on the application of Maximum Likelihood Estimation (MLE) and Expectation-Maximization (EM) algorithm approaches in estimating the 2- and 3- parameter ...
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Synchronization and channel estimation in MIMO OFDM systems
... Estimation of channel coefficients and synchronization parameters are two main challenges in realization of MIMO- OFDM systems which are practical. In almost all published references till no, estimation of cannel ...
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Efficient maximum likelihood pedigree reconstruction
... ered, the marker systems were assumed to be independent; however linked loci can readily be handled by the method presented here, provided that a suitable recombination model is incorporated into calculating the ...
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A practical implementation of maximum likelihood voting
... the Maximum Likelihood Voting technique assuming failure independence, and he evaluated it using a combination of analytical and simulation approaches ...
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Maximum-Likelihood and Markov Chain Monte Carlo Approaches to Estimate Inbreeding and Effective Size From Allele Frequency Changes
... The likelihood and Bayesian approaches give better results than the classical F-statistics when markers exhibiting a low polymorphism (such as the SNP markers) are ...
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