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

DOI10.1016/0167-7152(95)00006-2zbMath0844.62049OpenAlexW1990355592MaRDI QIDQ1914299

Luc Pronzato, Andrej Pázman

Publication date: 31 July 1996

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(95)00006-2

zbMATH Keywords

Dirac delta functionmarginal densitydistribution of nonlinear statisticsnew approximations

Mathematics Subject Classification ID

Exact distribution theory in statistics (62E15) General nonlinear regression (62J02) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (2)

Optimal experimental design and some related control problems ⋮ Mixture of Bivariate Exponential Distributions

Cites Work

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• On the density of minimum contrast estimators
• Nonlinear experimental design based on the distribution of estimators
• Invited discussion paper small-sample distributional properties of nonlinear regression estimators (a geometric approach)
• The Asymptotic Distribution of Nonlinear Regression Parameter Estimates: Improving the Approximation
• Amendments and Corrections

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