Results 41 to 50 of about 24,612 (214)

On the Attainment of the Cramer-Rao Lower Bound

open access: yesThe Annals of Statistics, 1976
It is often stated that the variance of an unbiased estimator of a function of a real parameter can attain the Cramer-Rao lower bound only if the family of distributions is a one-parameter exponential family. A rigorous proof of this statement, subject to certain regularity conditions, has been given by Wijsman.
openaire   +3 more sources

An improper Cramer-Rao lower bound [PDF]

open access: yesApplicationes Mathematicae, 1987
The author gives lower bounds for the risks of regular estimates. These bounds are of the Cramér-Rao type but do not depend on the bias of the estimates. It is shown by examples how the bounds can be applied to obtain results on minimaxity or efficiency of estimates.
openaire   +2 more sources

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

open access: yesAdvanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang   +9 more
wiley   +1 more source

Comparison of estimation limits for quantum two-parameter estimation

open access: yesPhysical Review Research
Measurement estimation bounds for local quantum multiparameter estimation, which provide lower bounds on possible measurement uncertainties, have so far been formulated in two ways: by extending the classical Cramér-Rao bound (e.g., the quantum Cramér ...
Simon K. Yung   +4 more
doaj   +1 more source

On the Attainment of the Cramer-Rao Lower Bound

open access: yesThe Annals of Statistics, 1973
A rigorous proof is given of the often stated fact that if the variance of an unbiased estimator of a function of a real parameter attains the Cramer-Rao lower bound then the family of distributions must be a one-parameter exponential family.
openaire   +2 more sources

Bounds for estimation of covariance matrices from heterogeneous samples [PDF]

open access: yes, 2008
This correspondence derives lower bounds on the mean-square error (MSE) for the estimation of a covariance matrix mbi Mp, using samples mbi Zk,k=1,...,K, whose covariance matrices mbi Mk are randomly distributed around mbi Mp.
Besson, Olivier   +2 more
core   +2 more sources

Radiation‐Absorptive Heat Transport in Buoyancy‐Driven MHD Nanofluids Flow With Cross‐Diffusion and Chemical Interaction Effects Over a Vertical Moving Plate

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This article investigates the Soret–Dufour cross‐diffusion effects on radiation‐absorptive unsteady free‐convection of magnetized nanofluids (TiO2–water$$ {\mathrm{TiO}}_2\hbox{--} \mathrm{water} $$ and Cu–water$$ \mathrm{Cu}\hbox{--} \mathrm{water} $$) flow over a vertical moving permeable plate.
B. Prabhakar Reddy   +2 more
wiley   +1 more source

Angle-of-Arrival Assisted GNSS Collaborative Positioning

open access: yesSensors, 2016
For outdoor and global navigation satellite system (GNSS) challenged scenarios, collaborative positioning algorithms are proposed to fuse information from GNSS satellites and terrestrial wireless systems.
Bin Huang   +3 more
doaj   +1 more source

Geolocation a known‐altitude moving source by TDOA and FDOA measurements

open access: yesElectronics Letters, 2022
Source altitude information, if known or can be measured by an altimeter, can greatly improve localisation performance. In this letter, a novel algebraic solution for known‐altitude moving source geolocation using time difference of arrival and frequency
Yuhao Pei, Guizhou Wu, Fucheng Guo
doaj   +1 more source

On the Estimation of Nonrandom Signal Coefficients from Jittered Samples [PDF]

open access: yes, 2010
This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive iid Gaussian noise, where the signal lies in the span of a finite basis.
Goyal, Vivek K, Weller, Daniel S.
core   +5 more sources

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