Generalized Linear Models ,2nd Edition by McCullagh, John Nelder PDF free download
McCullagh, John Nelder Generalized Linear Models ,2nd Edition PDF, was published in 1983 and uploaded for 300-level Science and Technology students of University of Ibadan (UI), offering STA351 course. This ebook can be downloaded for FREE online on this page.
Generalized Linear Models ,2nd Edition ebook can be used to learn Generalized Linear Models, dilution assay, probit analysis, logit models, log-linear models, inverse polynomical, survival data, model fittinf, residuals, pearson residual, Anscombe residual, deviance residual, error structure, systemic component, aliasing, estimation, tables, binary data, binomial distribution, over-dispersion, measurement scales, multinomial distribution, likelihood functions, log-linear models, multiple responses, conditional likelihoods, hypergeometric distributions, Gamma distribution, Quasi-likelihood functions, dependent observations, optimal estimating functions, optimality criteria, model checking, survival data, dispersion.