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R. W. M. Wedderburn
Researcher at The Hertz Corporation
Publications - 7
Citations - 11085
R. W. M. Wedderburn is an academic researcher from The Hertz Corporation. The author has contributed to research in topics: Generalized linear model & Linear model. The author has an hindex of 4, co-authored 7 publications receiving 10478 citations.
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Generalized Linear Models
TL;DR: In this paper, the authors used iterative weighted linear regression 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.
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Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method
TL;DR: In this paper, the Gauss-Newton method for calculating nonlinear least squares estimates generalizes easily to deal with maximum quasi-likelihood estimates, and a rearrangement of this produces a generalization of the method described by Nelder & Wedderburn (1972).
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