Robust integer-valued designs for linear random intercept models
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1373820
Abstract: ABSTRACT This article considers the robust design problem for linear random intercept models with both departures from fixed effects and correlated errors on a finite design space. Two strategies are proposed. One is a worst-case… read more here.
Keywords: integer valued; robust integer; random intercept; intercept models ... See more keywords
Computations of predictors/estimators under a linear random-effects model with parameter restrictions
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1476714
Abstract: Abstract This paper considers the problem of simultaneously predicting/estimating unknown parameter spaces in a linear random-effects model with both parameter restrictions and missing observations. We shall establish explicit formulas for calculating the best linear unbiased… read more here.
Keywords: model parameter; parameter restrictions; random effects; effects model ... See more keywords
Adaptive estimation in the linear random coefficients model when regressors have limited variation
Sign Up to like & getrecommendations! Published in 2022 at "Bernoulli"
DOI: 10.3150/21-bej1354
Abstract: We consider a linear model where the coefficients-intercept and slopes-are random and independent from regressors which support is a proper subset. When the density has finite weighted L 2 norm, for well chosen weights, the… read more here.
Keywords: estimation linear; model; random coefficients; linear random ... See more keywords