An Introduction to Likelihood Analysis |
Contents
INTRODUCTION | 3 |
ii Likelihood Loglikelihood and Maximum Likelihood | 9 |
MODELS WITH SEVERAL PARAMETERS | 17 |
Copyright | |
3 other sections not shown
Common terms and phrases
alternative analysis B₁ B₂ Bayesian binomial model Blog calculate capita income chance variation Colarado Delta confidence interval considered cumulative distribution function derivative distribution function Equation examined example exp(a exp(B explanatory variables frequency frequentist geography give rise GLIM gravity model height holiday homes hypothesis hypothetical incomplete durations individual inference introduction likelihood methods Likelihood Ratio Test likelihood surface likelihood theory linear LM test statistic log-relative likelihood log(M log(p logit transformation LPOP LR statistic ML estimate ML parameter estimates Mode Choice Newton Normal density function number of dwelling number of students observed obtained parameter space parameter values particular perfectly fitting model plausible values Poisson regression population possessing the attribute predicted prior views prob probability density procedure profile log-likelihood proportion of holiday R.J. Johnston relative likelihood function relative log-likelihood function sample data sample probability score function simple random sample slope sufficient statistics urbanisation Wald test whilst zero