Results 21 to 30 of about 62,585 (293)
Matrix rank and inertia formulas in the analysis of general linear models
Matrix mathematics provides a powerful tool set for addressing statistical problems, in particular, the theory of matrix ranks and inertias has been developed as effective methodology of simplifying various complicated matrix expressions, and ...
Tian Yongge
doaj +1 more source
Optimal estimators in biadditive models and their families
Biadditive regression models are linear models with an additive structure for their covariance matrix. We introduce commutative conditions and derive optimal estimators, namely Best Linear Unbiased Estimators (BLUE) and Best Quadratic Unbiased Estimators
Manuela Oliveira +4 more
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Constrained Best Linear Unbiased Estimation
The least squares (LS) estimator and the best linear unbiased estimator (BLUE) are two well-studied approaches for the estimation of a deterministic but unknown parameter vector. In many applications it is known that the parameter vector fulfills some constraints, e.g., linear constraints.
Lang, Oliver +2 more
openaire +2 more sources
Sharp Oracle Inequalities for Aggregation of Affine Estimators [PDF]
We consider the problem of combining a (possibly uncountably infinite) set of affine estimators in non-parametric regression model with heteroscedastic Gaussian noise.
Dalalyan, Arnak, Salmon, Joseph
core +6 more sources
In this paper some recurrence relations satisfied by single and product moments of generalized order statistics from Hjorth distribution have been obtained.
Jagdish Saran +2 more
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Mean squared error of empirical predictor
The term ``empirical predictor'' refers to a two-stage predictor of a linear combination of fixed and random effects. In the first stage, a predictor is obtained but it involves unknown parameters; thus, in the second stage, the unknown parameters are ...
Das, Kalyan +2 more
core +2 more sources
Risk hull method for spectral regularization in linear statistical inverse problems [PDF]
International audienceWe consider in this paper the statistical linear inverse problem $Y=Af+\epsilon\xi$ where $A$ denotes a compact operator, $\epsilon$ a noise level and $\xi$ a stochastic noise.
Barron +23 more
core +3 more sources
Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products
NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission has gained significant attention within the land remote sensing community for estimating soil moisture (SM) using the Global Navigation System Reflectometry technique.
M M Nabi +3 more
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In this article, we derived the Best Linear Unbiased Estimator (BLUE) of the location parameter of certain distributions with known coefficient of variation by record values. Efficiency comparisons are also made on the proposed estimator with some of the
N. K. Sajeevkumar, M. R. Irshad
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On Progressive Type-II Censored Samples from Alpha Power Exponential Distribution
In this paper the two-parameter α-power exponential distribution is studied. We study the two-parameter α-power exponential μ,λ distribution with the location parameter μ>0 and scale parameter λ>0 under progressive Type-II censored data with fixed shape ...
Mukhtar M. Salah
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