Kernel weighted least square approach for imputing missing values of metabolomics data [PDF]
Scientific Reports, 2021 Mass spectrometry is a modern and sophisticated high-throughput analytical technique that enables large-scale metabolomic analyses. It yields a high-dimensional large-scale matrix (samples × metabolites) of quantified data that often contain missing ...
Nishith Kumar +2 more
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Fast bilateral weighted least square for the detail enhancement of COVID-19 chest X-rays [PDF]
Digital Health, 2023 Background X-ray is an effective measure in the diagnosis of coronavirus disease 2019. However, it suffers from low visibility and poor details. A plausible solution is to decompose the captured images and enhance the details.
Wenyan Bian, Yang Yang
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Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks [PDF]
Sensors, 2020 We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks.
SeYoung Kang, TaeHyun Kim, WonZoo Chung
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Determination of the best geographic weighted function and estimation of spatio temporal model – Geographically weighted panel regression using weighted least square [PDF]
MethodsXThis study proposes the development of a spatio-temporal model with geographic weights containing elements of location, time and the correlation between the two. The spatio-temporal model is a spatial regression model that combines geographic information
Sifriyani +3 more
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Fitting a function to time-dependent ensemble averaged data [PDF]
Scientific Reports, 2018 Time-dependent ensemble averages, i.e., trajectory-based averages of some observable, are of importance in many fields of science. A crucial objective when interpreting such data is to fit these averages (for instance, squared displacements) with a ...
Karl Fogelmark +3 more
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Ridge Shrinkage Estimators in Finite Mixture of Generalized Estimating Equations. [PDF]
Mathematics and Modeling in Finance, 2022 The paper considers the problem of estimation of the parameters in nite mixture models.In this article, a new method is proposed for of estimation of the parameters in nite mixture models. Traditionally, the parameter estimation in nite mixture models
Sajad Nezamdoust, Farzad Eskandari
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An Improved Self-Born Weighted Least Square Method for Cylindricity Error Evaluation
Applied Sciences, 2022 In order to improve the stability of the evaluation results and the gross error resistance of the algorithm in view of the widespread gross errors in geometric error evaluation, an improved self-born weighted least square method (ISWLS) is proposed in ...
Yunhan Yao, Ke Zhang
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A new modified Kies Fréchet distribution: Applications of mortality rate of Covid-19
Results in Physics, 2021 The purpose of this paper is to identify an effective statistical distribution for examining COVID-19 mortality rates in Canada and Netherlands in order to model the distribution of COVID-19.
Anum Shafiq +5 more
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Resurrecting weighted least squares [PDF]
Journal of Econometrics, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Romano, Joseph P, Wolf, Michael
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Mixture of Shanker Distributions: Estimation, Simulation and Application
Axioms, 2023 The Shanker distribution, a one-parameter lifetime distribution with an increasing hazard rate function, is recommended by Shanker for modelling lifespan data. In this study, we examine the theoretical and practical implications of 2-component mixture of
Tahani A. Abushal +4 more
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