Right now, I see the occasional example log-likelihood function scattered throughout a ton of different math stats books, and I have to think that somewhere out there these have been collected ...

The LIK module computes the average log likelihood function. First, the average log likelihood function is computed using the default initial values: Z0=0 and VZ0= 106 I. The second call of module LIK ...

A rather complex numerical issue for (restricted) maximum likelihood estimation in nonlinear mixed-effects models is the evaluation of the log-likelihood function of the data, because it involves the ...

The log likelihood function can only be evaluated for , c > 0, and . In the estimation process, you must enforce these conditions using lower and upper boundary constraints. The three-parameter ...

It is shown that likelihood-based calculations may provide insight into the quality of the resulting parameter estimates, and are directly applicable to the validation of experimental designs.

A likelihood function for the frequency of the A1 allele when 2 A1 alleles are observed in a sample of 10 alleles. The vertical dashed line is drawn through the maximum value of the likelihood ...

This note gives examples where these properties of likelihood ratios do not hold; in some examples $\hat {L}_ {n}$ does not even tend to zero. The examples show that some of the regularity assumptions ...