Hydroclimatic processes come in all “shapes and sizes”. They are characterized by different
spatiotemporal correlation structures and probability distributions that can be continuous …

Hydrometeorological processes are typically characterized by temporal dependence, short‐
or long‐range (eg, Hurst behavior), as well as by non‐Gaussian distributions (especially at …

We developed the R package SimCorMultRes to facilitate simulation of correlated
categorical (binary and multinomial) responses under a desired marginal model …

Simulations concerning the distributional assumptions of coefficient alpha are contradictory.
To provide a more principled theoretical framework, this article relies on the Fréchet …

Confirmatory factor analysis is some of the most widely used statistical techniques in the
social sciences. Frequently, variables (ie, items) stemming from questionnaires are …

This paper examines how pretest measures of a study outcome reduce selection bias in
observational studies in education. The theoretical rationale for privileging pretests in bias …

The connection between the point-biserial and biserial correlations is well-established when
the underlying distribution is bivariate normal. For many other bivariate distributions, the …

ABSTRACT A package for the stochastic simulation of discrete variables with assigned
marginal distributions and correlation matrix is presented and discussed. The simulating …

Situations in which multiple outcomes and predictors of different distributional types are
collected are becoming increasingly common in public health practice, and joint modeling of …

Simulation studies employed to study properties of estimators for parameters in population-
average models for clustered or longitudinal data require suitable algorithms for data …