Results 101 to 110 of about 23,412 (229)

UNCERTAINTY UNDER A MULTIVARIATE NESTED-ERROR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATION [PDF]

Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Isabel Molina
core  

Positivity of the best unbiased L-estimator of the scale parameter with complete or selected order statistics from location-scale distribution

The positivity of the best linear unbiased estimator of the scale parameter of a location-scale family of distributions in terms of complete or selected set of order statistics has only been conjectured in the literature based solely on empirical ...
Sarkar, Sanat K., Wang, Wenjin, Bai, Zhidong   +2 more
core  

A review and evaluation of doubly robust approaches for estimating average treatment effects. [PDF]

Behav Res Methods
Zhang J, Lüdtke O, Robitzsch A.
europepmc   +1 more source

Identification of novel QTL for tiller angle on chromosome 2H and 5H in barley. [PDF]

BMC Plant Biol
Wang Z, Liu J, Wang Z, Cui C, Yin C, Liang Z, Yao Q, Lai Y, Wu F, Ye X, Wei X, Zou L, Liu Y.   +12 more
europepmc   +1 more source

Synthetic Regressing Control. [PDF]

Obs Stud
Zhu R.
europepmc   +1 more source

On the Inclusion of Non-Concurrent Controls in Platform Trials With an Interim Analysis. [PDF]

Stat Med
Krotka P, Posch M, Bofill Roig M.
europepmc   +1 more source

Best affine unbiased representations of the fully restricted general Gauss-Markov model

This article completes and simplifies earlier results on the derivation of best linear, or affine, unbiased estimates in the general Gauss-Markov model with a singular dispersion matrix and additional restrictions under very general conditions.
Haupt, Harry, Oberhofer, Walter
core  

"Prediction in Multivariate Mixed Linear Models" [PDF]

The multivariate mixed linear model or multivariate components of variance model with equal replications is considered.The paper addresses the problem of predicting the sum of the regression mean and the random e ects.When the feasible best linear ...
Tatsuka Kubokawa, M. S. Srivastava
core  

Characterizations of the best linear unbiased estimator in the general Gauss-Markov model with the use of matrix partial orderings

, 1990
J. Baksalary, S. Puntanen
semanticscholar   +1 more source

Statistical and Structural Bias in Birth-Death Models. [PDF]

Bull Math Biol
Beaulieu JM, O'Meara BC.
europepmc   +1 more source