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Asymptotic approach to model testing for heteroscedastic spatial regression with independent observations

AIP Conference Proceedings, 2016
We derive a functional central limit theorem for heteroscedastic spatial regressions by applying the generalized version of Prohorov’s theorem. By our technique we get the limit process which is expressed as a function of a centered set-indexed Gaussian process including the standard set-indexed Brownian sheet as a special case.
openaire   +1 more source

Exact D-optimal Designs of Experiments for Linear Multiple Model with Heteroscedastical Observations

2014
The problem of construction exact D-optimal designs of experiments for linear multiple model with heteroscedastical observations is investigated. Is indicated too the structure of those designs for two factors.
openaire   +1 more source

On mean estimation for heteroscedastic random variables

Annales De L'institut Henri Poincare (B) Probability and Statistics, 2023
Gabor Lugosi   +2 more
exaly  

Heteroscedastic Bayesian optimization using generalized product of experts

Journal of Global Optimization, 2023
Saulius Tautvaišas, Julius Zilinskas
exaly  

On estimation of a heteroscedastic measurement error model under heavy-tailed distributions

Computational Statistics and Data Analysis, 2012
Jin-Guan Lin
exaly  

Bartlett corrections and bias correction for two heteroscedastic regression models

Communications in Statistics - Theory and Methods, 1992
Gauss Cordeiro
exaly  

Density estimation with heteroscedastic error

Bernoulli, 2008
Aurore Delaigle, Alexander Meister
exaly  

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