Results 41 to 50 of about 205 (138)
The cost of not knowing the radius
, 2008 Symmetric location and contamination, Infinitesimal asymmetric neighborhoods, Total variation, contamination, Asymptotically linear estimators, Influence curves, Maximum asymptotic variance and mean square error, Relative risk, Inefficiency, Least ...
Peter Ruckdeschel +5 more
core +1 more source
Consistent estimation, Measurement errors, Reliability matrix, Stochastic linear restriction, Ultrastructural model, 62J05, 62H12, 62P20,
Shalabh, Gaurav Garg, Neeraj Misra
core +1 more source
, 2005 Primary 60G70, 62G10, 62G32, 62M02, secondary 60F10, 60G15, 62J05, Change-point problem, Quality control, Regression models, Partial sums processes, Signal-plus-noise model, Brownian motion with trend, Tests of Kolmogorov type, Extreme values, Large ...
Jürg Hüsler +7 more
core +1 more source
Equality of BLUEs or BLUPs under two linear models using stochastic restrictions
BLUE, BLUP, Generalized inverse, Linear fixed effects model, Linear mixed effects model, Stochastic restrictions, 62J05, 62F10,
Stephen Haslett, Simo Puntanen
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On the consistency of M-estimate in a linear model obtained through an estimating equation
, 1992 We consider the linear model yi = x'iβ + ei, i = 1,...,n, and an estimating equation of the form ψ(y1-x'1β)x1 + ... + ψ(yn - X'nβ)xn = 0 and prove the consistency of the estimator β under some mild conditions on ψ.
Zhaoa, L.C., Radhakrishna Rao, C.
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Minimax rate of testing in sparse linear regression
, 2019 International audienceWe consider the problem of testing the hypothesis that the parameter of linear regression model is 0 against an s-sparse alternative separated from 0 in the 2-distance.
Tsybakov, Alexandre +4 more
core +4 more sources
Admissibility and linear sufficiency in linear model with nuisance parameters
Admissibility, BLUE, Linear sufficiency, Partitioned linear model, Nuisance parameters, Reduced model, 15A42, 62J05, 62F10, 62H12, 62H20,
Simo Puntanen, Augustyn Markiewicz
core +1 more source
Maximum likelihood estimators in regression models with infinite variance innovations
60E07, 60P17, 62F12, 62J05, Autoregression, stable distributions, Lévy processes, maximum likelihood estimators,
Svetlozar Rachev, Vygantas Paulaauskas
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Strong convergence rate of the least median absolute estimator in linear regression models
linear regression, median absolute deviation, strong convergence rate, LMA estimator, 62J05, 62F12,
P. Kwan, Y. Kwan, Ying Yang, W. Ip
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Aligned Rank Statistics for Repeated Measurement Models with Orthonormal Design, Employing a Chernoff-Savage Approach [PDF]
AMS classifications: 62G10, 62G20; 62J05.aligned rank statistics;orthonormal design matrix;repeated measurements;Chernoff-Savage ...
Einmahl, J.H.J. +3 more
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