Dear List,
Probably i am missing something important in optimize:
llk.1st <- function(alpha){
x <- c(20.0, 23.9, 20.9, 23.8, 25.0, 24.0, 21.7, 23.8, 22.8, 23.1, 23.1, 23.5,
23.0, 23.0)
n <- length(x)
llk1 <- -n*log(gamma(alpha)) - n*alpha*log(sum(x)/(n*alpha)) + (alpha -
1)*(sum(log(x))) - (su
: r-help@r-project.org
Subject: [R] Likelihood optimization numerically
Dear List,
I am not sure how should i optimize a log-likelihood numerically:
Here is a Text book example from Statistical Inference by George
Casella, 2nd
Edition Casella and Berger, Roger L. Berger (2002, pp. 355, ex. 7.4 #
Dear List,
I am not sure how should i optimize a log-likelihood numerically:
Here is a Text book example from Statistical Inference by George Casella, 2nd
Edition Casella and Berger, Roger L. Berger (2002, pp. 355, ex. 7.4 # 7.2.b):
data = x = c(20.0, 23.9, 20.9, 23.8, 25.0, 24.0, 21.7, 23.8, 22
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