However, this assumption does not necessarily hold in practice. In this paper, we propose an optimal test based on the so-called uniform local asymptotic normality to detect the possible presence of random effects in linear mixed models. We show that the proposed test statistic is, consistent, ...
lmerTest: Tests in Linear Mixed Effects Models Scale range differences between individual assessors will often constitute a non-trivial part of the assessor-by-product interaction in sensory profile data (Brockhoff, 2003, 1998; Brockhoff and Skovgaard, 1994). We suggest a new mixed m... A ...
Some properties of likelihood ratio tests in linear mixed models We calculate the finite sample probability mass-at-zero and the probability of underesti-mating the true ratio between random effects variance and error va... CM Crainiceanu,D Ruppert,TJ Vogelsang 被引量: 44发表: 2003年 OPTIMUM ...
The LR statistics under investigation here fall in thiscategory. Unfortunately, the assumed regularity conditions are not easily verified, especially when the covariance matrix of therandom effects is not diagonal as in linear mixed models with two correlated random effects. We show that such ...
The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (MANOVA, multivariate multiple regression, MANCOVA, and repeated measures designs).HE plots represent sums-of-squares-and-products matrices for linear hypotheses (H) and for error (E) using ellipses ...
LetN(μ;Σ) denote a multivariate Normal distribution with meansμand a variance-covariance matrixΣ. We wish to jointly test the association ofmgenetic variants with a quantitative traityfor a sample ofNobservations (i.e., participants) while controlling forqcovariates. Within the linear mixed mo...
R. Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models. Biometrics 51, 1440–1450 (1995). Article Google Scholar Lee, S., Teslovich, T. M., Boehnke, M. & Lin, X. General framework for meta-analysis of rare variants in sequencing ...
Laplace Importance Sampling for Generalized Linear Mixed Models It is well known that the standard Laplace approximation of the integrated marginal likelihood function of a random effects model may be invalid if the dim... Kuk,YC Anthony - 《Journal of Statistical Computation & Simulation》 被引量...
For ease of comparison, we adopt the experimental protocol of [15] and consider two stochastic processes based on a linear mixed effects model. We generate independent samples 𝐗={𝐱𝑖}𝑚𝑖=1X={xi}i=1m and 𝐘={𝐲𝑖}𝑛𝑖=1Y={yi}i=1n on an equally spaced temporal grid...
Since the simple regression analysis did not yield a meaningful result, the development of models that integrate multiple input parameters were considered to improve the prediction accuracy. The effects of non-destructive rock index tests were examined through the use of multiple linear regression (MLR...