Likelihood留学生讲解、HTML file辅导、讲解Java，c/c++编程、Python语言辅导解析Haskell程序|讲解Data

Lab Assignment 2
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Likelihood methods for the Poisson distribution
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1. First generate 25 observations from the Poisson(lambda=10) distribution and
save them in a vector.
2. Write a function to compute the Log-likelihood for a vector of values of the
mean lambda given the n observations you generated in question 1. Plot the
log-likelihood for a sequence of values of lambda. Axes must be labelled and the
plot must have a title. Ensure that you choose a sequence of lambda values that
bracket the MLE for lambda.
3. Compute the MLE of lambda using the data from question 1 and the function
you defined in question 2 and the optimize() function.
4. Write a function to compute the log relative likelihood - ln(p), r(lambda) -
ln(p) and graph it for a sequence of lambda values and p=.147.
5. Compute the 14.7% Likelihood Interval as the roots of r(lambda) - ln(.147)
= 0. Show the results.

Likelihood留学生讲解、HTML file辅导、讲解Java，c/c++编程、Python语言辅导 解析Haskell程序|讲解Data

Likelihood留学生讲解、HTML file辅导、讲解Java，c/c++编程、Python语言辅导解析Haskell程序|讲解Data