讲解：Likelihood、HTML file、Java，c/c++、PythonJava|Proc

Lab Assignment 2Fill in your NameFill in the dateLikelihood methods for the Poisson distribution DO NOT CHANGE the chunk name or the set.seed() values below. Execute each chunk of code to ensure that your code works properly. Then HTML knit the entire document. If you cannot compile all of your code without errors before the end of the class, comment out thechunks that are not working. Open the HTML document in a browser. Save the HTML file as a pdf file. Submit your pdf assignment.1. First generate 25 observations from the Poisson(lambda=10) distribution andsave them in a vector.2. Write a function to compute the Log-likelihood for a vLikelihood留学生作业代做、HTML file作业代写、代做Java，c/c++编程作业、Python语言作业代ector of values of themean lambda given the n observations you generated in question 1. Plot thelog-likelihood for a sequence of values of lambda. Axes must be labelled and theplot must have a title. Ensure that you choose a sequence of lambda values thatbracket the MLE for lambda.3. Compute the MLE of lambda using the data from question 1 and the functionyou 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.转自：http://ass.3daixie.com/2019021676271743.html