Nature: Disentangling Bimodal and Unimodal Patterns in the Diurnal Cycle of Low Clouds and Their Meteorological Drivers at SACOL
Disentangling Bimodal and Unimodal Patterns in the Diurnal Cycle of Low Clouds and Their Meteorological Drivers at SACOL
News Medical: Does bimodal visual-olfactory training with patient-preferred scents improve olfaction in individuals with COVID-19 postviral olfactory loss?
In a recent study published in JAMA Otolaryngology–Head & Neck Surgery, researchers investigated whether using patient-preferred scents and a bimodal method of visual-olfactory training is more ...
Does bimodal visual-olfactory training with patient-preferred scents improve olfaction in individuals with COVID-19 postviral olfactory loss?
A simple way to program a bimodal distrubiton is with two seperate normal distributions centered differently. This creates two peaks or what wiki calls modes. You can actually use almost any two distributions, but one of the harder statistical opportunities is to find how the data set was formed after combining the two random data distributions.
I wonder if there is any statistical test to "test" the significance of a bimodal distribution. I mean, How much my data meets the bimodal distribution or not? If so, is there any test in the R pro...
I am attempting to model bimodal continuous coral survival data that includes values of 0 and 1 (0-100% survival). I have attempted to use linear mixed effects models (lmer and glmmTMB) with a few
R how best to model continuous bimodal survival data using lmer and ...
I have some bimodal data like the one generated down (R language), and I don't know how to transform it to have a normal distribution or homoscedasticity. I'm running a linear discriminant analysis...