Optimal design for an inverse Gaussian regression model

Arthur Fries and Gouri K. Bhattacharyya

Statistics & Probability Letters, 1986, vol. 4, issue 6, 291-294

Abstract: 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.

Keywords: regression; optimal; design; inverse; Gaussian; distribution (search for similar items in EconPapers)
Date: 1986
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