f(x|a, B) = Ba T(a)" e Bx If you provide R code as a If you calculate by hand, your final answer should be solution, you must provide a complete solution all the way down through optim (...), assuming your data is stored in a variable generated through the following code: data <- rgamma (n=1e5, shape=3, rate=5) = NOTE: If you use RStudio, you may not use dgamma() for your log-likelihood func- tion! The Gamma function r(a) (not distribution, but function) is gamma () in RStudio-try ?gamma for help using it.
f(x|a, B) = Ba T(a)" e Bx If you provide R code as a If you calculate by hand, your final answer should be solution, you must provide a complete solution all the way down through optim (...), assuming your data is stored in a variable generated through the following code: data <- rgamma (n=1e5, shape=3, rate=5) = NOTE: If you use RStudio, you may not use dgamma() for your log-likelihood func- tion! The Gamma function r(a) (not distribution, but function) is gamma () in RStudio-try ?gamma for help using it.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 20PFA
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For this question use r studio r language!
1. The Gamma distribution is often used to describe the wait time until a certain number of
Assume x1, . . . , xn ∼iid Gamma(α, β), where α is shape and β is rate. Calculate the maximum likelihood estimator of β either by hand or via R, but not both. The probability density
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