Estimation and Analysis of Deviance

This lecture covers the estimation of unknown parameters in models, such as replacing unknown values with estimates and analyzing deviance to assess model fit. It also discusses the response of a bird to different prey species and wing colors, using binomial data analysis. The presentation includes the application of maximum likelihood estimation and the method of moments estimator. Additionally, it explores the analysis of deviance for models fitted to bird data, emphasizing the importance of model comparison and diagnostics. The lecture concludes with the interpretation of estimated parameters and standard errors for the bird data.