negative_binomial_uncertain

Aleatory uncertain discrete variable - negative binomial

Topics

discrete_variables, aleatory_uncertain_variables

Specification

  • Alias: None

  • Arguments: INTEGER

  • Default: no negative binomial uncertain variables

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Required

probability_per_trial

A negative binomial distribution parameter

Required

num_trials

A negative binomial distribution parameter

Optional

initial_point

Initial values for variables

Optional

descriptors

Labels for the variables

Description

The density function for the negative binomial distribution is given by:

\[\begin{split}f(x) = \left(\begin{array}{c}{n+x-1}\\{x}\end{array}\right){p^n}{(1-p)^{x}},\end{split}\]

where

  • \(p\) is the probability of success per trial

  • \(n\) is the number of successful trials

  • \(x\) is the number of failures

Theory

The negative binomial distribution is typically used to predict the number of failures observed when repeating a test until a total of \(n\) successes have occurred, where each test has a probability \(p\) of success.