This text concentrates on what can be achieved using the liklihood/Fisherian methods of taking into account uncertainty when studying a statistical problem. It takes the concept of the liklihood as the best method for unifying the demands of statistical modeling and theory of inference. Every liklihood 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. The emphasis is on liklihood not as just a device used to produce an estimate, but as an important tool for...

Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric...