search for: chap7a

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2007 Jun 13
1
specify constraints in maximum likelihood
Hi,I know only mle function but it seems that in mle one can only specify the bound of the unknowns forming the likelihood function. But I would like to specify something like, a = 2b or a <= 2b where 'a' and 'b' could be my parameters in the likelihood function. Any help would be really appreciated. Thank you!- adschai [[alternative HTML version deleted]]
2007 Jan 11
1
maximum likelihood, 1st and 2nd derivative
Hi guys again, it seems I haven't been doing the maximum likelihood estimation correctly. I quote below, can someone explain to me please what does it mean that the 2nd and 3rd derivatives of the function equals zero and how to compute that in R. "We have our initial estimated, subjective parameters for the gamma mixture and we have our likelihood that is the mixture of negative
2011 Oct 22
2
Using optim with parameters that are factors (instead of continuous parameters)
I've been programming maximum likelihood estimation models using the function "optim." My current research requires modeling a particular parameter as a categorical variable (what R calls a "factor"), not as a continuous parameter. (The research question is, at what level of X does a subject in our experiment choose Y=1 instead of Y=0? So this is a "light switch"