Of the studies evaluating herd effect at a community level, five were considered unsuitable for estimation of point estimates.
In this article, we have proposed a novel constrained biased CRB-based method to optimize the WCM and biased estimator to improve the performance of parameter estimation of point targets in MIMO radar in the presence of clutter.
40623_2017_749_MOESM1_ESM.xlsx Additional file 1. List of files used for accuracy estimation of pointing correction.
Optical flow, a fundamental machine vision tool, has advantages that directly reflect an accurate estimation of point motion, representing an evident change in position of a moving point.
The geostatistical approach is useful because it gives the best estimation of point-source phenomena such as rockfalls; however, the sensitivity of results to basic assumptions, e.g. assessment of variograms and choice of a threshold value, may be problematic.
Schematic view of elliptical arcs used for accuracy estimation of pointing correction, to which bias and noise calculated based on Eq. (4) and Table 3 are added, in the cases of (a, b) dayside images and (c, d) LIR images.
To evaluate ECBPK, we carried out real-world and synthetic experiments in which ECBPK and the gauge-only precipitation analysis procedure used in the NWS's Multisensor Precipitation Estimator (MPE) were compared for estimation of point precipitation and mean areal precipitation (MAP), respectively.
In [7], based on the Cramer-Rao bound (CRB), the problem of MIMO radar waveform design for parameter estimation of point targets has been investigated under the assumption that the received signals do not include the clutter which depends on the transmitted waveforms.
The study methodologies differ in important ways beyond estimation of point- versus period-prevalence.
The advantages of cross-sectional data collection include estimation of point or period prevalence, as well as relative quickness and inexpensiveness when compared with longitudinal data collection.
