In this paper, parametric and empirical likelihood functions or surfaces are compared. In particular, first- and second-order expansions for log likelihood functions are developed in nonparametric and ...

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 paper proposes three methods for computing the exact likelihood function of multivariate moving average models. Each method utilizes the structure of the covariance matrix in a different way.

For some of my current projects, I'm probably going to need to eventually estimate some models using Metropolis-Hastings sampling. I understand the basic concepts, and the software I use (R) has ...

There are three SAS procedures that enable you to do maximum likelihood estimation of parameters in an arbitrary model with a likelihood function that you define: PROC MODEL, PROC NLP, and PROC IML.

For binomial and Poisson distributions, the scale parameter has a value of 1. The variance of Y is for the binomial distribution and for the Poisson distribution. Overdispersion occurs when the ...