This is a preview. Log in through your library . Abstract The finite-sample properties of various point estimators of a common odds ratio from multiple 2 x 2 tables have been considered in a number of ...

This is a preview. Log in through your library . Abstract This paper describes a method and associated computer program for calculating exact confidence limits and P values, along with the conditional ...

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

Maximum likelihood estimation of the parameters of a statistical model involves maximizing the likelihood or, equivalently, the log likelihood with respect to the parameters. The parameter values at ...

way of simulation that these are actually where the likelihood is maximum (show it on a graph). Possible we can use a slider to also indicate the dependence on sample size. Also we could make some ...

1 School of Psychology, University of Ottawa, Ottawa, ON, Canada 2 Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada Understanding how functional connectivity between ...

Abstract: The optimal receiver operating characteristic (ROC) curve, giving the maximum probability of detection as a function of the probability of false alarm, is a key information-theoretic ...