represents a binomial process with event probability p.
- BinomialProcess is a discrete-time and discrete-state process.
- BinomialProcess at time n is the number of events in the interval 0 to n.
- The number of events in the interval 0 to n follows BinomialDistribution[n,p].
- The times between events are independent and follow GeometricDistribution[p].
- BinomialProcess can be used with such functions as Mean, PDF, Probability, and RandomFunction.
Examplesopen allclose all
Basic Uses (5)
Process Slice Properties (6)
Compare to the probability density of BinomialDistribution:
Find for what values of the parameter BinomialProcess is symmetric:
Find for what values of the parameter BinomialProcess is mesokurtic:
Moment has no closed form for symbolic order:
CentralMoment has no closed form for symbolic order:
FactorialMoment and its generating function:
Cumulant has no closed form for symbolic order:
A quality assurance inspector randomly selects a series of 10 parts from a manufacturing process that is known to produce 20% bad parts. Find the probability that the inspector gets at most one bad part:
It is known that, on average, 50% of the residents in a city like a certain TV program. Find the probability that at least 55% of residents will report that they like a program, in a survey of 804 people from the city:
A packet consisting of a string of symbols is transmitted over a noisy channel. Each symbol has a probability 0.0001 of being transmitted in error. Find the largest for which the probability of incorrect transmission (at least one symbol in error) is less than 0.001:
Find the price of a European call option after the third period in a multi-period binomial model, given that the initial price of the underlying is $100, strike price is $102, interest rate is 1% per period, and the stock moves up by 7% or down by a factor of 1/1.07:
Properties & Relations (5)
The time between events in a binomial process follows a PascalDistribution: