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Pointwise Optimality of Wavelet Density Estimation for Negatively Associated Biased Sample
Mathematics, 2020 This paper focuses on the density estimation problem that occurs when the sample is negatively associated and biased. We constructed a block thresholding wavelet estimator to recover the density function from the negatively associated biased sample.
Renyu Ye, Xinsheng Liu, Yuncai Yu
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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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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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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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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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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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On the biased Two-Parameter Estimator to Combat Multicollinearity in Linear Regression Model
African Scientific Reports, 2022 The most popularly used estimator to estimate the regression parameters in the linear regression model is the ordinary least-squares (OLS). The existence of multicollinearity in the model renders OLS inefficient.
Janet Iyabo Idowu +3 more
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Average Derivative Estimation from Biased Data [PDF]
ISRN Probability and Statistics, 2014 We investigate the estimation of the density-weighted average derivative from biased data. An estimator integrating a plug-in approach and wavelet projections is constructed. We prove that it attains the parametric rate of convergence 1/n under the mean squared error.
Chesneau, Christophe +2 more
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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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