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Applications of necessary and sufficient conditions for maximin efficient designs

Müller, Christine H.; Pázman, Andrej - In: Metrika : international journal for theoretical and … 48 (1998) 1, pp. 1-19

Persistent link: https://www.econbiz.de/10001255316

The density of the parameter estimators when the observations are distributed exponentially

Pázman, Andrej - In: Metrika : international journal for theoretical and … 44 (1996) 1, pp. 9-26

Persistent link: https://www.econbiz.de/10001204429

A Dirac-function method for densities of nonlinear statistics and for marginal densities in nonlinear regression

Pázman, A.; Pronzato, L. - In: Statistics & Probability Letters 26 (1996) 2, pp. 159-167

We consider new approximations for the marginal density of parameter estimates in nonlinear regression, and more generally for the density of any smooth scalar function G(y) with y normally distributed. These approximations are derived via a Dirac-function technique.

Persistent link: https://www.econbiz.de/10005254782