Statistical power analysis has revolutionized the ways in which we conduct and evaluate
research. Similar developments in the statistical analysis of incomplete (missing) data are …

The objective of this paper is to propose an effective procedure for sampling from a
multivariate population within the framework of Monte Carlo simulations. The typical …

Although power method polynomials based on the standard normal distributions have been
used in many different contexts for the past 30 years, it was not until recently that the …

Simulating multivariate nonnormal data with specified correlation matrices is difficult. One
especially popular method is extension of polynomial transformation technique to …

The increasing use of ordinal variables in different fields has led to the introduction of new
statistical methods for their analysis. The performance of these methods needs to be …

The purpose of this paper is to highlight the importance of a population model in guiding the
design and interpretation of simulation studies used to investigate the Spearman rank …

A popular approach to the simulation of multivariate, non-normal data in the social sciences
is to define a multivariate normal distribution first, and then alter its lower-dimensional …

The generalized lambda distribution (GLD) is a flexible four parameter distribution with many
practical applications. L-moments of the GLD can be expressed in closed form and are good …

Generalized lambda distribution (GLD) is a flexible distribution that can represent a wide
variety of distributional shapes. This property of the GLD has made it very popular in …

The Tukey family of g‐and‐h distributions is often used to model univariate real‐world data.
There is a paucity of research demonstrating appropriate multivariate data generation using …