Abstract
In this paper we propose a von Mises approximation of the critical value of a test and a saddlepoint approximation of it. They are specially useful to compute quantiles of complicated test statistics with a complicated distribution function, which is a very common situation in robustness studies. We also obtain the influence function of the critical value as an alternative way to analyse the robustness of a test.
Similar content being viewed by others
References
Daniels, H. E. (1983). Saddlepoint approximations for estimating equations.Biometrika, 70:89–96.
Fernholz, L. T. (1983).von Mises Calculus for Statistical Functionals, vol. 19 ofLecture Notes in Statistics. Springer-Verlag, New York.
Fernholz, L. T. (2001). On multivariate higher order von Mises expansions.Metrika, 53:123–140.
Field, C. A. andRonchetti, E. (1985). A tail area influence function and its application to testing.Communications in Statistics, 4:19–41.
Field, C. A. andRonchetti, E. (1990).Small Sample Asymptotics, vol. 13 ofLecture Notes-Monograph Series. Institute of Mathematical Statistics, Hayward, California.
Filippova, A. A. (1961). Mises' theorem on the asymptotic behaviour of functionals of empirical distribution functions and its statistical applications.Theory of Probability and its Applications, 7:24–57.
García-Pérez, A. (1993). On robustness for hypotheses testing.International Statistical Review, 61:369–385.
García-Pérez, A. (1996). Behaviour of sign test and one sample median test against changes in the model.Kybernetika, 32:159–173.
García-Pérez, A. (2000). An alternative way to accept a family of distributions for the observable random variable. InProceedings of the International Workshop GOF2000 on Goodness-of-fit Tests and Validity of Models, pp. 67–68. University of Paris V, Paris.
Gatto, R. andRonchetti, E. (1996). General saddlepoint approximation of marginal densities and tail probabilities.Journal of the American Statistical Association, 91:666–673.
Hampel, F. R. (1968).Contributions to the Theory of Robust Estimation. Ph.D. thesis, University of California, Berkeley.
Hampel, F. R. (1974). The influence curve and its role in robust estimation.Journal of the American Statistical Association, 69:383–393.
Hampel, F. R., Ronchetti, E. M., Rousseeuw, P. J., andStahel, W. A. (1986).Robust Statistics: The Approach Based on Influence Functions. Wiley, New York.
Jensen, J. L. (1995).Saddlepoint Approximations, vol. 16 ofOxford Statistical Science Series. The Clarendon Press Oxford University Press, New York. Oxford Science Publications.
Loh, W.-Y. (1984). Bounds on AREs for restricted classes of distributions defined via tail-orderings.The Annals of Statistics, 12:685–701.
Lugannani, R. andRice, S. (1980). Saddle point approximation for the distribution of the sum of independent random variables.Advances in Applied Probability, 12:475–490.
Maesono, Y. andPenev, S. I. (1998). Higher order relations between Cornish-Fisher expansions and inversions of saddlepoint approximations.Journal of the Japan Statistical Society, 28:21–38.
Reeds, J. A. (1976).On the Definitions of von Mises Functionals. Ph.D. thesis, Harvard University, Cambridge, Massachusetts.
Rousseeuw, P. J. andRonchetti, E. (1979). The influence curve for tests. Tech report, Fachgruppe fur Statistik ETH, Zurich.
Rousseeuw, P. J. andRonchetti, E. (1981). Influence curves for general statistics.Journal of Computational and Applied Mathematics, 7:161–166.
Sen, P. K. (1988). Functional jackknifing: Rationality and general asymptotics.The Annals of Statistics, 16:450–469.
Serfling, R. J. (1980).Approximation Theorems of Mathematical Statistics. Wiley, New York.
von Mises, R. (1947). On the asymptotic distribution of differentiable statistical functions.The Annals of Mathematical Statistics, 18:309–348.
Whithers, C. S. (1983). Expansions for the distribution and quantiles of a regular functional of the empirical distribution with applications to nonparametric confidence intervals.The Annals of Statistics, 11:577–587.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
García-Pérez, A. Von mises approximation of the critical value of a test. Test 12, 385–411 (2003). https://doi.org/10.1007/BF02595721
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02595721
Key Words
- Robustness in hypotheses testing
- von Mises expansion
- influence function
- tail area influence function
- saddlepoint approximation