• Generalized Linear Models ,2nd Edition by McCullagh, John Nelder

    Generalized Linear Models ,2nd Edition written by McCullagh, John Nelder was published in the year 1983. It has details on 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.

    This book was uploaded for 300 level Science students of University of Ibadan. it is recommended for STA351 course.

    Technical Details
    Uploaded by: Admin
    Uploaded on: 13-January-2021
    Size: 6.19 MB
    Number of points needed for download: 10
    Number of downloads: 0
    Go to download page

    Find this helpful? You can share to your friends