Scientific article
English

General Saddlepoint Approximations of Marginal Densities and Tail Probabilities

Published inJournal of the American Statistical Association, vol. 91, no. 434, p. 666-673
Publication date1996
Abstract

Saddlepoint approximations of marginal densities and tail probabilities of general nonlinear statistics are derived. These are based on the expansion of the statistic up to the second order. Their accuracy is shown in a variety of examples, including logit and probit models and rank estimators for regression.

Keywords
  • Bootstrap
  • Logit model
  • Marginal distribution
  • M estimator
  • Probit model
  • Rank estimator
  • U statistic
  • Von Mises expansion
Citation (ISO format)
GATTO, Riccardo, RONCHETTI, Elvezio. General Saddlepoint Approximations of Marginal Densities and Tail Probabilities. In: Journal of the American Statistical Association, 1996, vol. 91, n° 434, p. 666–673. doi: 10.1080/01621459.1996.10476935
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