Simple multilinear methods, such as partial least squares regression (PLSR), are effective at interrelating dynamic, multivariate datasets of cell鈥搈olecular biology through high-dimensional arrays. However, dat
The nested error regression (NER) model is a standard tool to analyze unit-level data in the field of small area estimation. Both random effects and error terms are assumed to be normally distributed in the standard NER model. However, in the case that asymmetry of distribution is observed ...
To deal with outliers, Sinha and Rao (2009) proposed a robust frequentist approach. In this article, we present a robust Bayesian alternative to the nested error regression model for unit-level data to mitigate outliers. We consider a two-component scale mixture of normal distributions for the ...
In multiple regression and structural equation modeling (SEM), the idea is the same — that one model is nested inside another. More technically, both models must have identical terms and one of the models must have one or more extra terms. For example:...
Pretty much all of the common statistical models we use, with the exception of OLS Linear Models, use Maximum Likelihood estimation. This includes favorites like: All Generalized Linear Models, includinglogistic, probit,beta,Poisson, negative binomialregression ...
Araújo MI, Fernandes M, de B Pereira B (2005) Alternative procedures to discriminate non nested multivariate linear regression models. Commun Stat – Theory Methods 34:2047–2062 MATHAraújo MI, Fernandes M, de B Pereira B (2005) Alternative procedures to discriminate non nested multivariate ...
Confidence intervals on total variance in a regression model with an unbalanced one-fold nested error structure. Comm. Statist. Theory Methods 33, 2735-2743.Burdick, R. K. and Dong Joon Park. (2003). "Performance of Confidence Intervals in Regres- sion Models with Unbalanced One-fold Nested...
Hall P, Maiti T (2006a) Nonparametric estimation of mean-squared prediction error in nested-error regression models. Ann Stat 34: 1733–1750P. Hall, T. Maiti, Nonparametric estimation of mean-squared prediction error in nested-error regression models, Ann. Statist. 34 (2006) 1733-1750....
a–d, Occupations' average annual wage (a) and required education levels (b) plotted against skill levels (with 95% CI), and their respective regression coefficients (blue bars) and standard errors in (c and d, respectively). The substantial wage premiums (n = 774) and higher educatio...
However, when I test for differences in regression slopes (individually using (b1-b2)/sqrt(SEb1^2+SEb2^2)) I get a significant difference in 2 of the paths. Is it reasonable to conclude that in complex models (my model has df=600; N=1100 and many structural paths), small ...