Explore >> Select a destination

You are here

 rpsychologist.com
Estimating treatment effects and ICCs from (G)LMMs on the observed scale using Bayes, Part 1: lognormal models | R Psychologist
| | aosmith.rbind.io
Simulate! Simulate! - Part 4: A binomial generalized linear mixed model
3.6 parsecs away

Travel
| | I walk through an example of simulating data from a binomial generalized linear mixed model with a logit link and then exploring estimates of over/underdispersion.
| | www.econometricsbysimulation.com
Econometrics By Simulation: Cragg's Double hurdle model used to explain censoring
3.1 parsecs away

Travel
| | Simulations, Econometrics, Stata, R,intelligent mulit-agent systems, Psychometrics, latent modelling, maximization, statistics, quantitative methods.
| | fharrell.com
Ordinal Models for Paired Data - Statistical Thinking
3.7 parsecs away

Travel
| | This article briefly discusses why the rank difference test is better than the Wilcoxon signed-rank test for paired data, then shows how to generalize the rank difference test using the proportional odds ordinal logistic semiparametric regression model. To make the regression model work for non-independent (paired) measurements, the robust cluster sandwich covariance estimator is used for the log odds ratio. Power and type I assertion \alpha probabilities are compared with the paired t-test for n=25. The ordinal model yields \alpha=0.05 under the null and has power that is virtually as good as the optimum paired t-test. For non-normal data the ordinal model power exceeds that of the parametric test.
| | reasonabledeviations.com
Hypothesis testing in quant finance ยท Reasonable Deviations
32.0 parsecs away

Travel
| Academic blog about quantitative finance, programming, maths.