We can compare discrete and continuous data by looking at how water comes out of a tap. A dripping tap shows discrete data, because each individual drop can be counted. The data collected will simply ...

Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...

We propose a latent variable model for mixed discrete and continuous outcomes. The model accommodates any mixture of outcomes from an exponential family and allows for arbitrary covariate effects, as ...

The maximum likelihood (ML) procedure is used to estimate the correlation between a discrete and a continuous variable. The discrete variable is assumed to be a classification of an unobservable ...

Abstract: Integrating quantum key distribution (QKD) into passive optical networks (PONs) poses challenges due to high losses from passive splitters and spontaneous Raman scattering noise from ...