The maximum entropy element is derived for three families of source probability mass functions (pmf): a) the class of c-contaminated pmf's; b) the class of pmf's for which each probability is known ...

Recent work has shown that any joint Probability Mass Function (PMF) can be represented as a naive Bayes model, via Canonical Polyadic (tensor rank) Decomposition. In this paper, we introduce a ...

This graph can also be called a probability mass function (PMF). For example, if \(n=100\) and \(p=0.5\), you would expect to get many outcomes around \(E(X)=50\), and fewer of the outcomes will be ...

This is called the Probability Mass Function (pmf). Notice that probability is associated with the values 0, 1, and 2 only. In Table 2 and Graph 2, the possible values of the random variable are ...

Impaired β-cell function and insufficient β-cell mass compensation are twin pathogenic features that underlie type 2 diabetes (T2D). Current therapeutic strategies continue to evolve to improve ...

Some functionality may not work correctly outside of this environment. Note: Support for these distributions is under development. Some functions may not be fully implemented or may produce unexpected ...

If one person is selected at random from the 20 people, the probabilities of the sample space can be represented as a graph called a probability mass function. As the distribution accounts for all ...

The stellar initial mass function (IMF) is a fundamental property in the measurement of stellar masses and galaxy star formation histories. In this work, we focus on the most massive galaxies in the ...