Results 21 to 30 of about 714,984 (285)
Robust Estimators for the Correlation Measure to Resist Outliers in Data
Journal of Mathematical and Fundamental Sciences, 2016 The objective of this research was to propose a composite correlation coefficient to estimate the rank correlation coefficient of two variables. A simulation study was conducted using 228 situations for a bivariate normal distribution to compare the ...
Juthaphorn Sinsomboonthong
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Sensors, 2020 This article presents a novel concept of the position estimator algorithm for voice coil actuators used in precision scanning applications. Here, a voice coil motor was used as an actuator and a sensor using the position estimator algorithm, which was ...
Mahesh Shewale +3 more
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Estimation of a discrete monotone distribution [PDF]
, 2009 We study and compare three estimators of a discrete monotone distribution: (a) the (raw) empirical estimator; (b) the "method of rearrangements" estimator; and (c) the maximum likelihood estimator.
Jankowski, Hanna K., Wellner, Jon A.
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A Robust Information Source Estimator with Sparse Observations [PDF]
, 2013 In this paper, we consider the problem of locating the information source with sparse observations. We assume that a piece of information spreads in a network following a heterogeneous susceptible-infected-recovered (SIR) model and that a small subset of
Ying, Lei, Zhu, Kai
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SDR Verification of Hierarchical Decision Aided 2-Source BPSK H-MAC CSE with Feed-Back Gradient Solver for WPNC Networks [PDF]
Radioengineering, 2020 This paper considers a channel state estimation (CSE) problem in a parametrized Hierarchical MAC (H-MAC) stage in Wireless Physical Layer Network Coding (WPNC) networks with Hierarchical Decode and Forward (HDF) relay strategy.
P. Hron, J. Lukac, J. Sykora
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Empirical likelihood estimation of the spatial quantile regression [PDF]
, 2012 The spatial quantile regression model is a useful and flexible model for analysis of empirical problems with spatial dimension. This paper introduces an alternative estimator for this model.
A Owen +32 more
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A Consistent Estimator of Nontrivial Stationary Solutions of Dynamic Neural Fields
Stats, 2021 Dynamics of neural fields are tools used in neurosciences to understand the activities generated by large ensembles of neurons. They are also used in networks analysis and neuroinformatics in particular to model a continuum of neural networks.
Eddy Kwessi
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An improved estimator for non-Gaussianity in cosmic microwave background observations [PDF]
, 2012 An improved estimator for the amplitude fnl of local-type non-Gaussianity from the cosmic microwave background (CMB) bispectrum is discussed. The standard estimator is constructed to be optimal in the zero-signal (i.e., Gaussian) limit.
Grin, Daniel +2 more
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An Artificial Neural Network for the Low-Cost Prediction of Soot Emissions
Energies, 2020 Soot formation in combustion systems is a growing concern due to its adverse environmental and health effects. It is considered to be a tremendously complicated phenomenon which includes multiphase flow, thermodynamics, heat transfer, chemical kinetics ...
Mehdi Jadidi +3 more
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A Euclidean likelihood estimator for bivariate tail dependence [PDF]
, 2012 The spectral measure plays a key role in the statistical modeling of multivariate extremes. Estimation of the spectral measure is a complex issue, given the need to obey a certain moment condition.
de Carvalho, Miguel +3 more
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