mle(stats4) Maximum Likelihood Estimation
is it list above what you want? On 6/10/06, Bart Joosen <[EMAIL PROTECTED]> wrote:
Hi, I want to use Maximum likelihood to estimate the parameters from my regression line. I have purchased the book "Applied linear statistical models" from Neter, Kutner, nachtsheim & Wasserman, and in one of the first chapters, they use maximum likelihood to estimate the parameters. Now I want to tried it for my self, but couldn't find the right function. In the book, they give a fixed variance to work with, but I couldn't find a function where I can estimate the predictor and where I have to give the variance. Or isn't this neccesairy? Also they calculate likelihood values for the different values, used to estimate the parameters (like a normal probability curve), is it possible to do this with R? Kind regards Bart [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
-- 此致 敬礼! 华孝挺 Kenneth Hua 浙江大学核农所 杭州,中国 310029
______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html