It takes the concept of the likelihood as the best method for unifying the demands of statistical modeling and theory of inference every likelihood concept is illustrated with realistic examples ranging from a simple comparison of two accident rates to complex studies that require generalized linear or semiparametric modeling. Journal of the royal statistical society series b statistical methodology journal of the royal statistical society series c applied statistics significance rssorguk join the rss in all likelihood statistical modelling and inference using likelihood pia veldt larsen university of southern denmark odense search for more papers by this author pia veldt larsen university of . Note 5 retrouvez in all likelihood statistical modelling and inference using likelihood et des millions de livres en stock sur amazonfr achetez neuf ou doccasion. 1 introduction 2 elements of likelihood inference 3 more properties of the likelihood 4 basic models and simple applications 5 frequentist properties 6 modelling relationships regression models 7 evidence and the likelihood principle 8 score function and fisher information 9 large sample results 10 dealing with nuisance parameters 11