A - Papers appearing in refereed journals
Nelder, J. A. and Wedderburn, R. W. M. 1972. Generalized linear models. Journal of the Royal Statistical Society, Series A (Statistics in Society). 135 (3), pp. 370-384. https://doi.org/10.2307/2344614
Authors | Nelder, J. A. and Wedderburn, R. W. M. |
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Abstract | The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable transformation. A generalization of the analysis of variance is given for these models using log-likelihoods. These generalized linear models are illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables) and gamma (variance components). The implications of the approach in designing statistics courses are discussed. |
Keywords | RRES175; 175_Statistics |
Year of Publication | 1972 |
Journal | Journal of the Royal Statistical Society, Series A (Statistics in Society) |
Journal citation | 135 (3), pp. 370-384 |
Digital Object Identifier (DOI) | https://doi.org/10.2307/2344614 |
Open access | Published as bronze (free) open access |
Output status | Published |
Copyright license | Publisher copyright |
ISSN | 0964-1998 |
Publisher | Wiley-Blackwell |
Permalink - https://repository.rothamsted.ac.uk/item/8v5q8/generalized-linear-models
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