Optimal design for linear models with correlated observations
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Publication:1952446
DOI10.1214/12-AOS1079zbMath1347.62161arXiv1303.2863MaRDI QIDQ1952446
Anatoly A. Zhigljavsky, Andrey Pepelyshev, Dette, Holger
Publication date: 30 May 2013
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1303.2863
integral operatoreigenfunctionscorrelated observationslogarithmic potentialoptimal designarcsine distribution
Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05) Optimal statistical designs (62K05)
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`Nearly' universally optimal designs for models with correlated observations ⋮ Optimal designs for quadratic regression with random block effects: the case of block size two ⋮ Positive definiteness and the Stolarsky invariance principle ⋮ Optimal designs for regression models with autoregressive errors ⋮ Optimal designs for some bivariate cokriging models ⋮ Computation of \(c\)-optimal designs for models with correlated observations ⋮ Optimal designs for the Michaelis–Menten model with correlated observations ⋮ Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations ⋮ D-optimal experimental designs for a growth model applied to a Holstein-Friesian dairy farm ⋮ OPTIMAL DESIGNS FOR SERIES ESTIMATION IN NONPARAMETRIC REGRESSION WITH CORRELATED DATA ⋮ Optimal designs for linear models with Fredholm-type errors ⋮ Optimal designs in regression with correlated errors ⋮ KL-optimal experimental design for discriminating between two growth models applied to a beef farm ⋮ Optimal designs for comparing regression curves: dependence within and between groups ⋮ The BLUE in continuous-time regression models with correlated errors ⋮ Minimax robust designs for wavelet estimation of nonparametric regression models with autocorrelated errors
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