Nov 9, 2024 · 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 …

Mar 16, 2018 · 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...

Mar 11, 2024 · How to decide on the family type for variables with bimodal distribution in GLM? Ask Question Asked 1 year, 10 months ago Modified 1 year, 10 months ago

Jul 5, 2019 · A mixture of two normal distributions with equal standard deviations is bimodal only if their means differ by at least twice the common standard deviation." I am looking for a derivation or …

Apr 28, 2022 · Standard deviation, whilst it is often used on normal distributions, is it a useful statistic on global temperature, both daily and yearly, given that weight of the data is towards the ends of the …

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...

Apr 17, 2020 · In the distribution you coded you have two modes: mean1 and mean2 since you are mixing two normal distributions with differing means. This means that your distribution is bimodal …

Jan 3, 2019 · I'm working with the Iris dataset. One of the variables, PetalWidth, has a clear bimodal distribution. My understanding is that multivariate regression sssumes normality for each of the input …

Nov 15, 2024 · 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) …

Apr 23, 2022 · What summary statistics, mean, median, standard deviation, etc. should be used on a skewed, bimodal, dataset and why? These are almost U shaped in a histogram layout with a slight …