asymptotic maximum-likelihood estimator
Asymptotic properties of maximum likelihood estimator for some discrete distributions generated by
... In large-scale biomolecular systems some frequency distributions are widely used. But the variety of such systems requires to generate new ones that satisfy the empirical facts above. The aim of this article is to prove ...
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Asymptotic Efficiency of the Maximum Likelihood Estimator for the Box Cox Transformation Model with Heteroscedastic Disturbances
... Asymptotic Efficiency of the Maximum Likelihood Estimator for the Box-Cox Transformation Model with Heteroscedastic Disturbances Kazumitsu Nawata Graduate School of Engineering, Universi[r] ...
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Qml inference for volatility models with covariates
... quasi-maximum likelihood estimator for APARCH-X model (2) and derive conditions for its ...The asymptotic distribution of the QMLE is studied conditioning on different information ...
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Maximum likelihood estimators in linear regression models with Ornstein Uhlenbeck process
... servations errors. Giraitis and Surgailis [] extended this result to non-Gaussian linear sequences. Koul and Surgailis [] established the asymptotic normality of the Whittle estimator in linear ...
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Estimation and tests for power-transformed and threshold GARCH models
... and asymptotic normality of maximum likelihood estimators for ARCH and GARCH model ...quasi-maximum likelihood estimators (QMLE) are not asymptotically normal and suffer from slow ...
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Mixed Hidden Markov Models for Clinical Research with Discrete Repeated Measurements
... The likelihood can be obtained by simply adding a random effect parameter to a single process HMM, and the conventional maximum-likelihood method can be used for parameter ...the maximum ...
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Parallel Computation of a Maximum-Likelihood Estimator of a Physical Map
... for asymptotic convergence moves with acceptance of a single move (Casotto is computationally ...the maximum-likeli- moves with acceptance of multiple ...
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ESTIMATORS OF LINEAR REGRESSION MODEL WITH AUTOCORRELATED ERRROR TERMS AND PREDICTION USING CORRELATED UNIFORM REGRESSORS
... the estimator provided by Cochrane and Orcutt (1949), Paris and Winstern (1954), Hildreth and Lu (1960), Durbin (1960), Theil (1971), the maximum likelihood and the maximum likelihood ...
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Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
... prior distributions will lead to well behaved MMLE empirical Bayes posteriors and which will not. In certain cases, however, the computation of the MMLE is very challenging. Therefore, it would be interesting to ...
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Statistical Inference for a two station tandem queue with atmost one customer to wait between the stations
... A maximum likelihood estimator (MLE), a consistent asymptotically normal (CAN) estimator and asymptotic confidence limits for the expected number of customers in the system for a ...
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Statistical inference in a directed network model with covariates
... The asymptotic properties of a restricted version of the maximum likeli- hood estimator were derived under the assumptions that all parameters are bounded and that the estimators for all parameters ...
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Estimators of Linear Regression Model and Prediction under Some Assumptions Violation
... The methodology of the biased estimator of regression coefficients due to principal component regression in- volves two stages. This two-stage procedure first reduces the predictor variables using principal ...
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International Journal of Data Envelopment Analysis and *Operations Research*
... studied, Maximum Likelihood estimator, Moments estimator, Percentile estimator, least square estimator and weighted least square ...Percentile estimator is ...
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A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES
... optimal estimator in the sense of maximizing the likelihood function was found in Wijers (1997) for a stationary planar Poisson line segment process observed through a convex ...This estimator is the ...
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Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models
... the asymptotic theory with N comparable to or even greater than T ...the asymptotic representations of the PC estimates of loadings, factors and common ...the maximum likelihood (ML) method ...
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Asymptotic Efficiency of Maximum Likelihood Estimators Under Misspecified Models
... the asymptotic variance for ˆ equals the upper left hand element of the inverse of the Fisher information matrix based on f ...the asymptotic variance for ˆ is not equal to the lower right hand element ...
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Analysis of the maximum likelihood channel estimator for OFDM systems in the presence of unknown interference
... frequency-division multiplexing (OFDM) systems in the presence of unknown interference. The following theoretical results are presented. Firstly, the uniqueness of the ML solution for practical applications, i.e., when ...
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Estimation of P(X>Y) for the Positive Exponential Family of Distributions
... the estimator of P ( X > Y ) based on MLE is recommended over UMVUE for estimating P (X > Y ...the estimator of θ q based on UMVUE is recommended over that of MLE for ...
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Discrete measurement, continuous time and event history modeling
... The likelihood functions in (4), (5), (7) and (9) are appropriate for estimating the parameters in a sample where all of the observations end and all of the covariates included in the model are constant over ...
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INFERENCE ON P(X KeywordsBayes Estimator, Confidence Interval, Credible Interval, Delta Method,Markov Chain Monte Carlo, Maximum Likelihood Estimator, Uniformly Minimum Variance Unbiased EstimatorDescriptionInference on R = P(X < Y ) has been considered when X and Y belong to independent exponentiated family of distributions. Maximum Likelihood Estimator (MLE), Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes Estimator of R has been derived and compared through simulation study. Exact and approximate confidence intervals and Bayesian credible intervals have also been derived.Date2011-04-27Identifier https://www.pjsor.com/index.php/pjsor/article/view/208 Source Pakistan Journal of Statistics and Operation Research; Vol 7. No. 2, July 2011 Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810
... In this section, we obtain the Bayes estimation of R under assumption that the shape parameters , and are random variables. We mainly obtain the Bayes estimate of R under the squared error loss using the Gibbs ...
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