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 ...
A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . . For example, stock prices are discrete random variables, ...
Journal of Agricultural, Biological, and Environmental Statistics, Vol. 6, No. 3 (Sep., 2001), pp. 340-355 (16 pages) Measurements of both continuous and discrete outcomes are encountered in many ...
Sean Ross is a strategic adviser at 1031x.com, Investopedia contributor, and the founder and manager of Free Lances Ltd. Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor ...
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 ...
Qubits implementing quantum error correction are called logical qubits, and they can be realized in two different ways: Discrete Variable (DV) and Continuous Variable (CV).
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