Author: Wayne M. Getz; Richard Salter; Oliver Muellerklein; Hyun S. Yoon; Krti Tallam
Title: Modeling Epidemics: A Primer and Numerus Software Implementation Document date: 2017_9_22
ID: 6riyqn4k_39
Snippet: to denote thatX is one drawing of a binomial variable representing the number of times one of two outcomes occurs in n trails, when the probability of this outcome occurring in a single trial is p (i.e., a Bernoulli process with probability p). More generally, we use the notation (X 1 , · · · ,X r ) to denote one instance or one particular drawing of (x 1 , · · · , x r ) ∼ MULTINOMIAL [n; p 1 , · · · , p r ] , whereX i is the number of.....
Document: to denote thatX is one drawing of a binomial variable representing the number of times one of two outcomes occurs in n trails, when the probability of this outcome occurring in a single trial is p (i.e., a Bernoulli process with probability p). More generally, we use the notation (X 1 , · · · ,X r ) to denote one instance or one particular drawing of (x 1 , · · · , x r ) ∼ MULTINOMIAL [n; p 1 , · · · , p r ] , whereX i is the number of times one of r possible outcomes occurs over n trials, each have probability p i (i = 1, ..., r) of occurring in any one trial.
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