Results 41 to 50 of about 155 (148)
Necessary conditions for admissibility of matrix linear estimators in a multivariate linear model
Parameter matrix linear function, Quadratic matrix loss functions, Matrix normal distributions, Unknown covariance matrix, The Stein problem, James-Stein type matrix estimator, Primary 62C15, Secondary 62H12,
Kazuo Noda, Etsuo Miyaoka
core +1 more source
A projector oriented approach to the best linear unbiased estimator
General Gauss–Markov model, Ordinary least squares estimator, Oblique projector, Generalized projection operator, 62J05, 62H12, 15A24, 15A57,
Oskar Baksalary, Götz Trenkler
core +1 more source
The aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik +3 more
doaj +1 more source
Empirical likelihood for density-weighted average derivatives
Average derivative, Density weighting, Empirical likelihood, Kernel smoothing, Single-index model, 62G08, 62G20, 62H12,
Xuewen Lu, Wanrong Liu
core +1 more source
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
Risk Analysis and Robustness of four Shrinkage Estimators
In this paper we first investigate the risk properties of four shrinkage estimators of a location vector assuming that the random vector follows a multivariate normal distribution.
Ching-Hui Chano, Nabendu Pal
core +1 more source
Superefficient Estimation of Multivariate Trend [PDF]
. The question of recovering a multiband signal from noisy observations motivates a model in which the multivariate data points consist of an unknown deterministic trend \Xi observed with multivariate Gaussian errors.
Beran, Rudolf, Rudolf Beran
core +1 more source
Temporal and contemporaneous disaggregation of multiple economic time series
Data-based procedure, discrepancy measure, Kalman filter, mean square error, vector autoregressive models, Primary 62M10, secondary 62F30, 62H12,
Víctor Guerrero, Fabio Nieto
core +1 more source
Suppose that a weakly singular linear regression model M{\mathscr{M}} and its two competing restricted models M1{{\mathscr{M}}}_{1} and M2{{\mathscr{M}}}_{2} are given.
Ren Xingwei
doaj +1 more source
Estimation of the Parameters of the Uniform Distribution Over [kθ, (k+ 1)θ]
From the available literature on estimation of the parameters of the uniform distribution over [ kθ, kθ + θ], we find the necessity to construct improved estimators of the parameter θ when k is known.
P. Yageen Thomas
core +1 more source

