parameter maximum likelihood estimates
On Maximum Likelihood Estimates for the Shape Parameter of the Generalized Pareto Distribution
... the parameter estimation ...by maximum likelihood because have a consistent estimator with lowest bias and ...the maximum likelihood estimator for the shape parameter or extreme ...
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Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo
... The approach of [3] is to construct an inhomogeneous Markov chain which produces samples from a sequence of such distributions for increasing values of γ. Just as in SA, this concentrates the mass on the set of global ...
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On Maximum Likelihood Estimation for the Three Parameter Gamma Distribution Based on Left Censored Samples
... the likelihood maximization, Hirose (1995) [20] and Tzavelas (2009) [11] found by different approaches that the log-likelihood has a local maximum reported in the second line of Table 5 (labelled ...
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ESTIMATORS OF LINEAR REGRESSION MODEL WITH AUTOCORRELATED ERRROR TERMS AND PREDICTION USING CORRELATED UNIFORM REGRESSORS
... the parameter estimates of the Ordinary Least Square estimator (OLS), Cochrane-Orcutt estimator (COR), Maximum Likelihood estimator (ML) and the estimators based on Principal Component ...
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Semidefinite Programming for Approximate Maximum Likelihood Sinusoidal Parameter Estimation
... initial parameter estimates are obtained by discrete Fourier transform (DFT), linear prediction [16], or other means [7, ...initial estimates are necessary for global ...
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Simple Penalties on Maximum-Likelihood Estimates of Genetic Parameters to Reduce Sampling Variation
... yield estimates that are on average closer to the population values than unpenalized ...distort estimates of the total, phenotypic ...intuitive parameter, known as effective sample size of the prior ...
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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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On Hybrid Censored Inverse Lomax Distribution: Application to the Survival Data
... the maximum likelihood estimator (MLE) of the mean and interval estimates in one-parameter exponential distribution based on a hybrid type II censored ...
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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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Parameter redundancy and the existence of maximum likelihood estimates in log linear models
... is parameter redundant for a pattern of observed zeros in the table, prior to fitting the model to the ...one. Parameter redundant models have a flat ridge in their likelihood ...ditional ...
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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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Methodology and accuracy of estimation of quantitative trait loci parameters in a half-sib design using maximum likelihood.
... method for predicting the expected value of the likelihood was also derived and used to predict the lower bound sampling errors of the parameter estimates and the c[r] ...
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Quantitative Trait Loci Associated with Agronomic and Fiber Traits of Upland Cotton
... genetic estimates were also calculated by the mixed model approach (Table ...genetic estimates for each trait show the relative importance of the various QTLs for any given ...genetic estimates of ...
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PARAMETER ESTIMATION OF EXPONENTIAL HIDDEN MARKOV MODEL AND CONVERGENCE OF ITS PARAMETER ESTIMATOR SEQUENCE
... the parameter estimator, a maximum likelihood method is used. Numerical approximation is used through an Expectation Maximization (EM) algorithm. Under the continuous assumption, the sequence {φ (k) ...
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The structure of energy demand in Australia : an econometric investigation with some economic applications
... Chapter 5 has two main aims. First, it reports the results of modelling the consumer demand for various fuels along with that of non-fuel household consumption expenditure. Second, it analyses the deadweight loss (DWL) ...
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Mapping disease risk estimates based on small numbers: an assessment of empirical Bayes techniques
... Table 2: Maximum Likelihood and Empirical Bayes Estimates ofNeo-natal Mortality in 1989 Deaths Per 1,000 Live Births.. County Maximum Likelihood Empirical Bayes Estimate Estimate.[r] ...
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Discrete measurement, continuous time and event history modeling
... In this section I compare the performance of midpoint imputation and interval censored estimation, also performing pseudo-continuous estimation as a baseline for comparison. 3 The three different sampling/estimation ...
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Allocative Efficiency among Fadama Fluted Pumkin Farmers in Imo State, Nigeria
... The maximum likelihood estimation of the translog model revealed that allocative efficiency was influenced by education, farming experience, extension contact, credit access and household ...
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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
... To derive the LRT for the above testing problem, we proceed in the usual fashion by deriving both unrestricted and restricted (under H 0 ) MLEs of based on X and computing the value of W = 2 ( ln LRT X ( )) , which ...
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