Summary
Loglinear models with linear composite link functions constitute a very flexible class of models which can accommodate a wide range of estimation problems for probability models in genetics. It is shown how GLIM-3 may be used to obtain estimates of gene frequencies, inbreeding coefficients and other parameters and their asymptotic covari-ances and standard errors. Examples are taken from medical genetics and evolutionary biology.
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© 1982 Springer-Verlag New York Inc.
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Burn, R. (1982). Loglinear Models with Composite Link Functions in Genetics. In: Gilchrist, R. (eds) GLIM 82: Proceedings of the International Conference on Generalised Linear Models. Lecture Notes in Statistics, vol 14. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5771-4_14
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DOI: https://doi.org/10.1007/978-1-4612-5771-4_14
Publisher Name: Springer, New York, NY
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