Results 31 to 40 of about 1,457,940 (269)
Noise variance estimation for Kalman filter
In this paper, we propose an algorithm that evaluates noise variance with a numerical integration method. For noise variance estimation, we use Krogh method with a variable integration step.
Beniak Ryszard +2 more
doaj +1 more source
Bayesian Bootstrap in Multiple Frames
Multiple frames are becoming increasingly relevant due to the spread of surveys conducted via registers. In this regard, estimators of population quantities have been proposed, including the multiplicity estimator. In all cases, variance estimation still
Daniela Cocchi +2 more
doaj +1 more source
Optimal variance estimation without estimating the mean function [PDF]
We study the least squares estimator in the residual variance estimation context. We show that the mean squared differences of paired observations are asymptotically normally distributed.
Ma, Yanyuan, Tong, Tiejun, Wang, Yuedong
core +3 more sources
Improving the Cavalieri estimator under non-equidistant sampling and dropouts
Motivated by the stereological problem of volume estimation from parallel section profiles, the so-called Newton-Cotes integral estimators based on random sampling nodes are analyzed.
Mads Stehr, Markus Kiderlen
doaj +1 more source
Variance estimation for sensitivity analysis of poverty and inequality measures
Estimates of poverty and inequality are often based on application of a single equivalence scale, despite the fact that a large number of different equivalence scales can be found in the literature.
Christian Dudel
doaj +1 more source
Real variance estimation in iDTMC-based depletion analysis
The Improved Deterministic Truncation of Monte Carlo (iDTMC) is a powerful acceleration and variance reduction scheme in the Monte Carlo analysis.
Inyup Kim, Yonghee Kim
doaj +1 more source
Asymptotics for sliced average variance estimation
In this paper, we systematically study the consistency of sliced average variance estimation (SAVE). The findings reveal that when the response is continuous, the asymptotic behavior of SAVE is rather different from that of sliced inverse regression (SIR)
Li, Yingxing, Zhu, Li-Xing
core +1 more source
Power delay profile and noise variance estimation for OFDM [PDF]
In this letter, we present cyclic-prefix (CP) based noise-variance and power-delay-profile estimators for Orthogonal Frequency Division Multiplexing (OFDM) systems.
Cui, Tao, Tellambura, Chintha
core +1 more source
This article presents a new set of estimators designed to estimate the finite population variance of a study variable in two-phase sampling. These estimators utilize the information about extreme values and ranks of an auxiliary variable. Through a first-
Umer Daraz +3 more
doaj +1 more source
Automatic variance control and variance estimation loops [PDF]
A closed loop servo approach is applied to the problem of controlling and estimating variance in nonstationary signals. The new circuit closely resembles but is not the same as, automatic gain control (AGC) which is common in radio and other circuits ...
Moir, T.J.
core

