Bayesian methods in APL

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Bayesian methods in APL

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International Conference on APL archive
Proceedings of the international conference on APL table of contents

Toronto, Ontario, Canada

Pages: 277 - 285

Year of Publication: 1993

ISBN:0-89791-612-3

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Authors

Thomas W. Stroud
Alan M. Sykes
Alan D. Mayer

Sponsor

SIGAPL: ACM Special Interest Group on APL Programming Language

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	J.I.Ansell and A.M.Sykes Beaton's Recipe for Least Squares Vector Vol.8 No.1 July 1991, pp36-40
	2	Alan Sykes, A second generation DOMINO for statisticians, Proceedings of the international conference on APL: APL in transition, p.369-380, May 10-14, 1987, Dallas, Texas, United States
	3	J.M.Marriott and J.C.Naylor Teaching Bayes on MINITAB Applied Statistics Vol. 42, No. 1, 1993, pp223-232
	4	A.Zellner An Introduction to Bayesian b~ference in Econometrics Robert Kriegler Publishing Company, Malabar, Florida 1987
	5	A.G.Hawkes Numerical Integration and Probability Distributions, Vector Vol. 1 No.2 1984
	6	Norman Thomson, APL programs for the mathematics classroom, Springer-Verlag New York, Inc., New York, NY, 1989
	7	D.V.Lindley and A.F.M.Smith Bayes Estimates for the Linear Model Journal of the Royal Statistical Society Series B (1972), 135
	8	J.H,Albert Computational Methods Using a Bayesian Hierarchical Generalized Linear Model Journal of the American Statistical Association December 1988, Vol. 83, No. 404