maximum-likelihood based methods
Syllable based Phonetic transcription by Maximum Likelihood Methods
... Syllable based Phonetic transcription by Maximum Likelihood Methods Syllable based Phonetic transcription by Maximum Likelihood Methods R A Sharman MP167, IBM(UK) Labs Ltd, Hursley Park, Winchester SO[.] ...
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Enhanced Rules Framework for Predicting Disk Drives Failures
... model based on statistical and machine learning methods using Maximum Likelihood rule induction algorithm for solving classification problems through probability distribution based on ...
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Maximum Entropy Empirical Likelihood Methods Based on Bivariate Laplace Transforms and Moment Generating Functions
... MEEL methods are similar to properties of univariate MEEL methods as discussed by Luong [7] and will be further discussed in section ...empirical likelihood methods as developed by Qin and ...
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Sample size re-estimation in paired comparative diagnostic accuracy studies with a binary response
... re-estimated. Methods: This paper discusses a sample size estimation and re-estimation method based on the maximum likelihood estimates, under an implied multinomial model, of the observed ...
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Estimation of Dynamic Stochastic Frontier Model using Likelihood based Approaches
... the likelihood-based approaches to estimate a DSF model that retains the general setting of the inefficiency, we do not compare our proposed estimator with the other existing estimators, such as the ...
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On the Maximum Likelihood and Least Squares Estimation for the Inverse Weibull Parameters with Progressively First Failure Censoring
... numerical methods are applied to solve the required equations. The maximum likelihood estimation method based on progressively censored data has been studied extensively, but traditionally, ...
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Odds Generalized Exponential-Inverse Weibull Distribution: Properties & Estimation
... In this article, we propose a new model, called the odds generalized exponential-inverse Weibull distribution based on T-X family presented by Alzaatreh et al. (2013). Some statistical properties of current ...
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Maximum Likelihood with Auxiliary Information
... (7) based on full information calibrated weights are inefficient, even relative to the unconstrained sample-based MLEs that ignore the auxiliary information, while the limited information calibration and ...
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Multiple Choice Tests: Inferences Based on Estimators of Maximum Likelihood
... Multiple-choice tests (MCT in the following) are widely known as psychometric instruments intended to meas- ure the degree of knowledge of students about a specific matter. Nowadays, the enormous development in in- ...
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Joint fundamental frequency and order estimation using optimal filtering
... are based on ...related methods have been proven to work well for enhancement and separation of periodic signals ...filtering methods follows in ...filtering methods. This order estima- tion ...
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Dubbing Modernization: The United States, France, and the Politics of Development in the Ivory Coast, 1946 1968
... Five methods of cluster analysis are examined for their accuracy in clustering on both real CPILS dataset and simulated ...The methods include hierarchical cluster analysis (Ward's method), ...
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Maximum Likelihood Estimation of Population Growth Rates Based on the Coalescent
... pairwise methods tend to fail due to the over all coalescence intervals i : in each interval, k is the number confounding influence of the genealogical structure of lineages in the genealogy during that interval, ...
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Maximum Likelihood Methods for Hierarchical Structure from Motion of Uncalibrated Video.
... It was later shown in Papadopoulo and Faugeras [1998] that there are a set of 10 extended rank constraints (Section 4.1.2.3), three of which are equivalent to the original rank constraints. These are 3rd order, and ...
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Maximum Likelihood Estimation of Feature Based Distributions
... Finally, we compare this proposal with Hayes and Wilson (2008). Essentially, the model here represents a “bottom-up” approach whereas theirs is “top-down.” “Top-down” models, which con- sider every set of features as ...
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E-Bayesian Estimation for Burr-X Distribution Based on Type-I Hybrid Censoring Scheme
... the maximum likelihood, Bayesian and E-Bayesian estimation methods for estimating the pa- rameter and the reliability function of Burr-X distribution based on Type-I ...
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Empirical likelihood-based adjustment methods
... EL methods in survey sampling when auxiliary information is ...empirical maximum likelihood estimator (PEMLE), shown to be asymptotically equivalent to a GREG estimator in the case of estimating a ...
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Maximum-Likelihood Methods for Detecting Recent Positive Selection and Localizing the Selected Site in the Genome
... exact-likelihood methods for detecting strongly positive selection and estimating the position of the selected site along a recombining chromosome are proposed, both of which are based on the ...
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Bayes estimation for the parameters of the Weibull-Geometric distribution based on progressive first failure censored data
... tribution based on progressive first-failure censoring scheme. The maximum likelihood and Bayes methods of estimation are used for this ...corresponding maximum likeli- hood estimates ...
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Estimation under a Finite Mixture of Exponentiated Exponential Components Model and Balanced Square Error Loss
... obtained. Maximum likelihood and Bayes methods, based on square error loss function and objective prior, are used to obtain estimators based on balanced square error loss function for ...
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A short guide to phylogeny reconstruction
... distance based methods it is relatively ...the maximum parsimony method is that it does not imply a specific model of evolution and provides all equally parsimonious ...using maximum ...
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