Asymptotic Property of M Estimator in Classical Linear Models Under Dependent Random Errors
Sign Up to like & getrecommendations! Published in 2018 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-017-9589-9
Abstract: In this paper, we first establish a useful result on strong convergence for weighted sums of widely orthant dependent (WOD, in short) random variables. Based on the strong convergence that we established and the Bernstein… read more here.
Keywords: random errors; random variables; asymptotic property; dependent random ... See more keywords
Increased risks for random errors are common in outcomes graded as high certainty of evidence.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of clinical epidemiology"
DOI: 10.1016/j.jclinepi.2018.10.009
Abstract: OBJECTIVES The aim of article was to assess the risk for random errors in outcomes graded as high certainty of evidence (CoE). STUDY DESIGN AND SETTING We randomly selected 100 Cochrane reviews with dichotomous outcomes… read more here.
Keywords: outcomes graded; random errors; increased risks; high certainty ... See more keywords
How Representative Are Uncrewed Aircraft System Measurements of the Convective Boundary Layer?
Sign Up to like & getrecommendations! Published in 2025 at "Geophysical Research Letters"
DOI: 10.1029/2024gl114291
Abstract: Uncrewed aircraft systems (UAS) demonstrate significant potential for filling data gaps in the atmospheric boundary layer. However, the extent to which UAS observations—typically vertical profiles taken over 15 min—are representative of the boundary layer as… read more here.
Keywords: layer; random errors; convective boundary; boundary layer ... See more keywords
Berry–Esseen bound of wavelet estimators in heteroscedastic regression model with random errors
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2018.1487958
Abstract: ABSTRACT For the heteroscedastic regression model , where , are known to be nonrandom design points, and are defined on the closed interval [0,1]. When is known, we investigate the Berry–Esseen type bounds for wavelet… read more here.
Keywords: random errors; berry esseen; regression model; heteroscedastic regression ... See more keywords
Estimating Random Errors of Scatterometer, Altimeter, and Model Wind Speed Data
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2659220
Abstract: Scatterometer and altimeter wind data are very important for data assimilation and verification of numerical weather prediction models. Standard deviation of absolute random errors can be estimated using the triple collocation technique. However, error correlations… read more here.
Keywords: random errors; analysis; scatterometer altimeter; model ... See more keywords
Characterization of the Systematic and Random Errors in Satellite Precipitation Using the Multiplicative Error Model
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3028525
Abstract: Precipitation plays a critical role in the water and energy cycle. The systematic and random errors of precipitation are usually estimated using the additive model. However, various studies have shown that the multiplicative model is… read more here.
Keywords: precipitation; model; error; satellite precipitation ... See more keywords
The Robustness of Favorable Propagation in Massive MIMO to Location and Phase Errors
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3278490
Abstract: The impact of random errors (implementation inaccuracies) in element locations and beamforming phases on favorable propagation (FP) in massive multiple-input multiple-output (MIMO) line-of-sight (LOS) channels is studied. For arbitrary array geometry and under independent (possibly… read more here.
Keywords: impact random; random errors; propagation massive; favorable propagation ... See more keywords
Which Error Components in TRMM-Based Multisatellite Precipitation Estimates Reduce over Chinese Mainland after Official Bias Adjustments: Systematic or Random?
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Hydrometeorology"
DOI: 10.1175/jhm-d-23-0172.1
Abstract: Climatological calibration algorithm (CCA) and satellite–gauge combination (SG) are two official bias adjustments for satellite precipitation estimates (SPE) in the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA). The CCA is designed for the… read more here.
Keywords: bias adjustments; random errors; systematic random; official bias ... See more keywords
Structural damage detection by integrating robust PCA and classical PCA for handling environmental variations and imperfect measurement data
Sign Up to like & getrecommendations! Published in 2022 at "Advances in Structural Engineering"
DOI: 10.1177/13694332221079090
Abstract: This paper proposes a vibration-based structural damage detection approach considering the effects of uncertainties, including environmental variations and random errors that possibly stem from measurement and automatic modal identification. The existing methods that only employ… read more here.
Keywords: environmental variations; random errors; damage; damage detection ... See more keywords
THE AXIAL RATIO OF PLANAR ARRAYS WITH RANDOM ELEMENT ERRORS
Sign Up to like & getrecommendations! Published in 2019 at "Progress In Electromagnetics Research Letters"
DOI: 10.2528/pierl19062403
Abstract: Characterizing the random errors at the elements of a phased array antenna leads to equations that estimate the associated performance degradation. The increase in sidelobe level and decrease in gain due to random errors is… read more here.
Keywords: random errors; axial ratio; planar arrays; ratio ... See more keywords