search for: oukal

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2010 Apr 21
2
Maximum Likelihood Estimation in R
...o multiplied the log-likelihood function by -1, since I know that R by default minimizes the objective function. I would be very happy if you can come up with some Ideas on what is going wrong in the code below. Thank you for your time! Henrik > data<-read.table(file="c:/users/oukal.csv",header=TRUE) > y<-data$V1 > loglik<-function(estimate,y) + { + lap<-estimate[1] + stdev<-estimate[2] + rev<-estimate[3] + n<-length(y) + + 0.5*n*log(2*pi)+ 0.5*n*log(stdev) + + (1/(2*stdev*stdev))*sum(y-(rev/12)-lag(y)*exp(-lap/12)) + } > > optim(c(4,4,4),l...
2010 Apr 21
0
(no subject)
...ve also multiplied the log-likelihood function by -1, since I know that R by default minimizes the objective function. I would be very happy if you can come up with some Ideas on what is going wrong in the code below. Thank you for your time! Henrik > data<-read.table(file="c:/users/oukal.csv",header=TRUE) > y<-data$V1 > loglik<-function(estimate,y) + { + lap<-estimate[1] + stdev<-estimate[2] + rev<-estimate[3] + n<-length(y) + + 0.5*n*log(2*pi)+ 0.5*n*log(stdev) + + (1/(2*stdev*stdev))*sum(y-(rev/12)-lag(y)*exp(-lap/12)) + } > > optim(c(4,4,4),log...