Results 21 to 30 of about 41,346 (266)
This paper studies the Bayes estimator, the maximum likelihood estimator and the approximate likelihood estimator of the scale parameter for the Marshall-Olkin exponential distribution under the progressive type-II censored sample.
Mukhtar M. Salah
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The Density of the Maximum Likelihood Estimator
In this paper we derive an expression for the exact density of the maximum likelihood estimator (MLE) in the case where the MLE is uniquely defined at each point in the sample space by the vanishing of the score vector.
Hillier, G, Armstrong, M
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The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance matrix is considered under two loss functions. We construct a class of empirical Bayes estimators which are better than the maximum likelihood estimator ...
Shokofeh Zinodiny +2 more
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Mean square convergence rates for maximum quasi-likelihood estimator
In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of statistical models, in which only knowledge about the first two moments of the response variable is assumed.
Arnoud V. den Boer, Bert Zwart
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A Comparison Between the Bayesian and the Classical Estimators of Weibull Distribution
In this paper ,we study estimation of two parameters of Weibull distribution .Methods of estimation used are maximum likelihood estimator (MLE) and Bayes. We compared the numerical results by simulation in MATLAB program.
Fadhil abdulabaas Alabadee +2 more
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Estimation of Reliability Function for Complete Data - Article Review [PDF]
The theory of reliability is one of the important theories that is attracting great interest in many researchers at present because of its importance in various fields of life especially in determining the age of a particular device and its efficiency ...
Shaimaa Waleed
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Improving the Efficiency of Robust Estimators for the Generalized Linear Model
The distance constrained maximum likelihood procedure (DCML) optimally combines a robust estimator with the maximum likelihood estimator with the purpose of improving its small sample efficiency while preserving a good robustness level.
Alfio Marazzi
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A New Estimator to Combat Multicollinearity in Logistic Regression Model [PDF]
This paper proposes a new estimator based on the singular value decomposition technique of the design matrix to remedy multicollinearity in the binary logistic model.
Prof. Dr. Monira Ahmed Hussein +1 more
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Maximum Likelihood Estimation of Position in GNSS [PDF]
In this letter, we obtain the Maximum Likelihood Estimator of position in the framework of Global Navigation Satellite Systems. This theoretical result is the basis of a completely different approach to the positioning problem, in contrast to the conventional two-steps position estimation, consisting of estimating the synchronization parameters of the ...
Pau Closas +2 more
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Due to cost-effectiveness and high efficiency, two-phase case-control sampling has been widely used in epidemiology studies. We develop a semi-parametric empirical likelihood approach to two-phase case-control data under the logistic regression model. We
Zhen Sheng, Yukun Liu, Jing Qin
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