Results 31 to 40 of about 172,938 (287)
Statistical Modeling and Estimation of Censored Pathloss Data [PDF]
, 2015 Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can ...
Abbas, Taimoor +3 more
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Multilevel Richardson-Romberg extrapolation [PDF]
, 2016 We propose and analyze a Multilevel Richardson-Romberg (MLRR) estimator which combines the higher order bias cancellation of the Multistep Richardson-Romberg method introduced in [Pa07] and the variance control resulting from the stratification ...
Lemaire, Vincent, Pagès, Gilles
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Revstat Statistical Journal, 2010 In this paper, we consider the problem of estimating the parameters of a subset selected from p (p ≥ 2) left-truncated Poisson distributions under Stein loss function. Two problems of estimations are considered; average worth and simultaneous estimation.
A. Shanubhogue, Riyadh R. Al-Mosawi
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New Stochastic Restricted Biased Regression Estimators
MathematicsIn this paper, we propose three stochastic restricted biased estimators for the linear regression model. These new estimators generalize the least squares estimator, mixed estimator, and biased estimator. We derive the necessary and sufficient conditions
Issam Dawoud, Hussein Eledum
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Modified Maximum Likelihood Estimation of the Inverse Weibull Model
Axioms, 2023 The inverse Weibull model is a simple and flexible model used for survival analysis, reliability theory, and other scientific fields. The main problem in this context is the estimation of the model parameters.
Mohamed Kayid, Mashael A. Alshehri
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Analyzing weak lensing of the cosmic microwave background using the likelihood function [PDF]
, 2002 Future experiments will produce high-resolution temperature maps of the cosmic microwave background (CMB) and are expected to reveal the signature of gravitational lensing by intervening large-scale structures.
Hirata, Christopher M., Seljak, Uroš
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A new modified ridge-type estimator for the beta regression model: simulation and application
AIMS Mathematics, 2022 The beta regression model has become a popular tool for assessing the relationships among chemical characteristics. In the BRM, when the explanatory variables are highly correlated, then the maximum likelihood estimator (MLE) does not provide reliable ...
Muhammad Nauman Akram +3 more
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A New Kibria-Lukman-Type Estimator for Poisson Regression Models
Acta InfologicaOne of the most important models for the analysis of count data is the Poisson Regression Model (PRM). The parameter estimates of the PRM are obtained by the Maximum Likelihood Estimator (MLE).
Cemal Çiçek, Kadri Ulaş Akay
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Mobility State Detection of Cellular-Connected UAVs Based on Handover Count Statistics
IEEE Open Journal of Vehicular Technology, 2023 Estimating the speed of aerial user equipment (UE) is critically important to provide reliable mobility management for cellular-connected unmanned aerial vehicles (UAVs) since this can enhance the quality of service.
Md Moin Uddin Chowdhury +3 more
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The method of moments ratio estimator for the tail shape parameter [PDF]
, 1996 The so-called Hill estimator for the shape parameter of the tail distribution is known to be downwardly biased. The Hill estimator is a moment estimator, based on the first conditional moment of the highest logarithmically transformed data.
Daníelsson, J. (Jón) +1 more
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