Optimal design for an inverse Gaussian regression model

Optimal design theory is developed for an inverse Gaussian regression model in which the reciprocal mean is a polynomial function of a concomitant variable. Comparisons are made to the traditional normal theory optimal designs for linear and nonlinear regression.

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Year of publication:	1986
Authors:	Fries, Arthur ; Bhattacharyya, Gouri K.
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 4.1986, 6, p. 291-294
Publisher:	Elsevier
Keywords:	regression optimal design inverse Gaussian distribution

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005254217