Simulation of multivariate, non-normal data with Oscar L. Olvera Astivia скачать в хорошем качестве

Simulation of multivariate, non-normal data with Oscar L. Olvera Astivia

This workshop introduces the NOrmal To Anything (NORTA) method as a general technique to simulate a variety of non-normal distributions where the researcher controls the correlation structure of the data (i.e., the population correlation matrix) as well as the non-normality of the univariate, marginal distributions (both continuous and discrete). It begins with a quick overview of the multivariate normal distribution and how it can be altered to allow the user to either control the skewness and excess kurtosis (for continuous data) or the number of categories and frequency (for discrete data). It aims to connect the NORTA approach to popular techniques such as the 3rd order polynomial transformation and other algorithms which are commonly used in simulation studies in the psychology, education and the social sciences.