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  • John E. Kolassa
Part of the Lecture Notes in Statistics book series (LNS, volume 88)

Abstract

This chapter contains miscellaneous material applying saddlepoint and other distribution function approximations to statistical inference. An approximation for the root of an estimating equation is presented. Series approximation methods in Bayesian inference and resampling will also be discussed.

Keywords

Cumulative Distribution Function Maximum Likelihood Estimator Tail Probability Saddlepoint Approximation Tail Area 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • John E. Kolassa
    • 1
  1. 1.Department of BiostatisticsUniversity of Rochester, School of Medicine and DentistryRochesterUSA

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