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Estimation of Reliability Function for Complete Data - Article Review [PDF]
المجلة العراقية للعلوم الاحصائية, 2019 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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Maximum Likelihood Estimation of Position in GNSS [PDF]
IEEE Signal Processing Letters, 2007 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 ...
Pau Closas +2 more
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Improving the Efficiency of Robust Estimators for the Generalized Linear Model
Stats, 2021 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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Statistical Theory and Related Fields, 2022 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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Most Likely Maximum Entropy for Population Analysis with Region-Censored Data
Entropy, 2015 The paper proposes a new non-parametric density estimator from region-censored observations with application in the context of population studies, where standard maximum likelihood is affected by over-fitting and non-uniqueness problems.
Youssef Bennani +2 more
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On the maximum likelihood estimator in the generalized beta regression model [PDF]
Opuscula Mathematica, 2012 The subject of this article is to present the beta - regression model, where we assume that one parameter in the model is described as a combination of algebraically independent continuous functions.
Jerzy P. Rydlewski, Dominik Mielczarek
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Modified Ridge Logistic Estimator Based on Singular Value Decomposition [PDF]
The Egyptian Statistical Journal, 2023 This paper aims to introduce a modification of the ridge estimator based on the singular value decomposition (SVD) technique of the design matrix (X ) to combat multicollinearity in the binary logistic model.
Monira Hussein, Mostafa Abd el-Rahman
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Subsampling inference in cube root asymptotics with an application to Manski's maximum score estimator [PDF]
, 2000 Kim and Pollard (Annals of Statistics, 18 (1990) 191?219) showed that a general class of M-estimators converge at rate n1/3 rather than at the standard rate n1/2. Many times, this situation arises when the objective function is non-smooth.
Delgado, Miguel A. +5 more
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Semi-Nonparametric Maximum Likelihood Estimation [PDF]
Econometrica, 1987 The density of Hermite forms: \[ h(u)=P^ 2_ k(u-\tau)\Phi^ 2(u| \tau,diag(\gamma)) \] where \(P_ k\) is a polynomial of degree K and \(\Phi\) is the density function of the multivariate normal distribution is shown to be capable of approximating any density arbitrarily closely subject to minimal qualifications relating to compactness, denseness ...
Gallant, A Ronald, Nychka, Douglas W
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A New Maximum Likelihood Estimator Formulated in Pole-Residue Modal Model
Applied Sciences, 2019 Recently, a lot of efforts have been devoted to developing more precise Modal Parameter Estimation (MPE) techniques. This is explained by the necessity in civil, mechanical and aerospace engineering of obtaining accurate estimates for the modal ...
Sandro Amador +3 more
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