A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations

By B. Qaqish. 2003

236 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Using species combinations in indicator value analyses (2012, methodology): “With these expectations inmind, we used the R package ‘binarySimCLF’ (Qaqish 2003) to generate three correlated randombinary variables (i.”
Range of correlation matrices for dependent Bernoulli random variables (2006, methodology): “Using our results we show that the parametric binary models of Emrich & Piedmonte (1991) and Qaqish (2003) allow a good range of correlations between the binary variables.”
A List Sequential Sampling Method Suitable for Real‐Time Sampling (2008, methodology): “Qaqish (2003) used the AR-representation, with constant bik, to define multivariate Bernoulli distributions with given first and second order moments.”