Results 31 to 40 of about 693,040 (378)

A Consistent Estimator of Nontrivial Stationary Solutions of Dynamic Neural Fields

open access: yesStats, 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
doaj   +1 more source

A Simple Sampler for the Horseshoe Estimator [PDF]

open access: yesIEEE Signal Processing Letters, 2015
In this note we derive a simple Bayesian sampler for linear regression with the horseshoe hierarchy. A new interpretation of the horseshoe model is presented, and extensions to logistic regression and alternative hierarchies, such as horseshoe+, are ...
E. Makalic, D. Schmidt
semanticscholar   +1 more source

Speed sensorless vector control of parallel-connected three-phase two-motor single-inverter drive system

open access: yesFACETS, 2016
This paper presents the characteristic behavior of direct vector control of two induction motors with sensorless speed feedback having the same rating parameters, paralleled combination, and supplied from a single current-controlled pulse-width-modulated
R. Gunabalan   +5 more
doaj   +1 more source

New estimators for galactic ellipticity estimation [PDF]

open access: yesMonthly Notices of the Royal Astronomical Society, 2019
Based on the reformulation of the problem of galactic shape measurement, introduced by Tessore and Bridle, we develop and test new estimators which more efficiently solve what is now a statistical problem. Frequently only a single measurement is available from an observation made by telescopes, which may be distorted due to noise introduced in the ...
Martin Wiegand, Saralees Nadarajah
openaire   +4 more sources

Green roof in module of climate chamber

open access: yesSelected Scientific Papers: Journal of Civil Engineering, 2019
The submitted article is devoted to the research of the green roofs located at Faculty of civil engineering of Technical University of Kosice.
Baláž Richard   +2 more
doaj   +1 more source

Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends

open access: yesSensors, 2010
This paper provides a technical review of position and speed sensorless methods for controlling Brushless Direct Current (BLDC) motor drives, including the background analysis using sensors, limitations and advances.
Jaime Gómez-Gil   +2 more
doaj   +1 more source

M ESTIMATION, S ESTIMATION, AND MM ESTIMATION IN ROBUST REGRESSION [PDF]

open access: yesInternational Journal of Pure and Apllied Mathematics, 2014
In regression analysis the use of least squares method would not be appropriate in solving problem containing outlier or extreme observations. So we need a parameter estimation method which is robust where the value of the estimation is not much affected by small changes in the data. In this paper we present M estimation, S estimation and MM estimation
Y. Susanti   +3 more
openaire   +1 more source

Asymptotic Distribution of an Estimator for Variance Function of a Compound Periodic Poisson Process with Power Function Trend

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika), 2022
In this paper, an asymptotic distribution of the estimator for the variance function of a compound periodic Poisson process with power function trend is discussed.
Muhammad Wiranadi Utama   +2 more
doaj   +1 more source

A Survey on Vision Navigation Methods for UAV Navigation Applications [PDF]

open access: yesفصلنامه علوم و فناوری فضایی, 2017
Inertial navigation system error increases due to sensor errors with the increase intime. Usually, to prevent the growth of navigation system error, inertial navigationsystems are integrated with sensors or auxiliary systems. The importantly aided system
Masoud Ebrahimi Kachoie   +2 more
doaj  

Aggregated estimating equation estimation [PDF]

open access: yesStatistics and Its Interface, 2011
Motivated by the recent active research on online analytical processing (OLAP), we develop a computation and storage efficient algorithm for estimating equation (EE) estimation in massive data sets using a “divide-and-conquer” strategy. In each partition of the data set, we compress the raw data into some low dimensional statistics and then discard the
Ruibin Xi, Nan Lin
openaire   +2 more sources

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