def Likelihood(self, data, hypo):
"""Computes the likelihood of the data under the hypothesis.
hypo: goal rate in goals per game
data: number of goals scored in a game
"""
lam = hypo
goals = data
return thinkbayes2.EvalPoissonPmf(goals, lam)
def Likelihood(self, data, hypo):
"""Computes the likelihood of the data under the hypothesis.
Evaluates the Poisson PMF for lambda and k.
hypo: goal scoring rate in goals per game
data: goals scored in one period
"""
lam = hypo
k = data
like = thinkbayes2.EvalPoissonPmf(k, lam)
return like
def Likelihood(self, data, hypo):
"""Computes the likelihood of the data under the hypothesis.
Evaluates the Poisson PMF for lambda and k.
hypo: elapsed time since the last train
data: tuple of arrival rate and number of passengers
"""
x = hypo
lam, k = data
like = thinkbayes2.EvalPoissonPmf(k, lam * x)
return like
def Likelihood(self, data, hypo):
"""Computes the likelihood of the data under the hypothesis.
Evaluates the Poisson PMF for lambda and k.
hypo: arrival rate in passengers per second
data: tuple of elapsed_time and number of passengers
"""
lam = hypo
x, k = data
like = thinkbayes2.EvalPoissonPmf(k, lam * x)
return like
def Likelihood(self, data, hypo):
lam = hypo
k = data
like = thinkbayes2.EvalPoissonPmf(k, lam)
return like