The number of medical emergency calls per hour has a Poisson distribution with parameter λ. Calls received at different hours are considered to be independent. Emergency calls X1 ,…, Xn for n consecutive hours has the same parameter λ.
a) What is the distribution of Sn = ∑ Xi ?
b) Provide Normal approximation for the distribution of Sn .
c) Provide maximum likelihood estimation of λ. Calculate variance and bias of MLE.
d) Calculate Fisher information and efficiency of your estimator.
e) Is it sufficient estimator of λ ?
f) Test hypotheses H0: λ0=1 against alternative H1 : λ1=1.2 at the 0.025 significance level. Find approximately critical region for n=100.
g) Find power function of the test for n=100 and calculate it approximately. Is it most powerful test?
h) Calculate approximate p-value of the test if total number of calls during first 100 hours occurs S100 =130.
The number of medical emergency calls per hour has a Poisson distribution with parameter λ. Calls...
Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is r E 0,1,2,...) This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a) Prove by direct computation that the mean of...