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Fixed-α and fixed-βefficiencies

Published online by Cambridge University Press:  08 February 2013

Christopher S. Withers
Affiliation:
Applied Mathematics Group, Industrial Research Limited, Lower Hutt, New Zealand
Saralees Nadarajah
Affiliation:
School of Mathematics, University of Manchester, M13 9PL Manchester, UK. [email protected]
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Abstract

Consider testingH0 : F ∈ ω0against H1 : F ∈ ω1for a random sampleX1, ..., Xnfrom F, where ω0 andω1 are two disjoint sets of cdfs onℝ = (−∞, ∞). Two non-local types of efficiencies, referred to as thefixed-α and fixed-β efficiencies, are introduced forthis two-hypothesis testing situation. Theoretical tools are developed to evaluate theseefficiencies for some of the most usual goodness of fit tests (including theKolmogorov–Smirnov tests). Numerical comparisons are provided using several examples.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2013

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References

Abrahamson, I.G., Exact Bahadur efficiences for they Kolmogorov–Smirnov and Kiefer one- and two-sample statistics. Ann. Math. Stat. 38 (1967) 14751490. Google Scholar
Anderson, T.W. and Darling, D.A., Asymptotic theory of certain ‘goodness of fit’ criteria based on stochastic processes. Ann. Math. Stat. 23 (1952) 193212. Google Scholar
Bahadur, R.R., Stochastic comparison of tests. Ann. Math. Stat. 31 (1960) 276295. Google Scholar
Bahadur, R.R., An optimal property of the likelihood ratio statistic, Proc. of the 5th Berkeley Symposium 1 (1966) 1326. Google Scholar
Bahadur, R.R., Rates of convergence of estimates and test statistics. Ann. Math. Stat. 38 (1967) 303324. Google Scholar
Brown, L.D., Non-local asymptotic optimality of appropriate likelihood ratio tests. Ann. Math. Stat. 42 (1971) 12061240. Google Scholar
Chernoff, H., A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations. Ann. Math. Stat. 23 (1952) 493507. Google Scholar
R. Courant and D. Hilbert, Methods of Mathematical Physics I. Wiley, New York (1989).
A.B. Hoadley, The theory of large deviations with statistical applictions. University of Califonia, Berkeley, Unpublished dissertation (1965).
Hoadley, A.B., On the probability of large deviations of functions of several empirical cumulative distribution functions. Ann. Math. Stat. 38 (1967) 360382. Google Scholar
Hodges, J.L. and Lehmann, E.L., The efficiency of some nonparametric competitors of the t-test. Ann. Math. Stat. 27 (1956) 324335. Google Scholar
Kac, M., Kiefer, J. and Wolfowitz, J., On tests of normality and other tests of goodness of fit based on distance methods. Ann. Math. Stat. 26 (1955) 18911. Google Scholar
Kallenberg, W.C.M. and Koning, A.J., On Wieand’s theorem. Stat. Probab. Lett. 25 (1995) 121132. Google Scholar
Kallenberg, W.C.M. and Ledwina, T., On local and nonlocal measures of efficiency. Ann. Stat. 15 (1987) 14011420. Google Scholar
Kolmogorov, A.N., Confidence limits for an unknown distribution function. Ann. Math. Stat. 12 (1941) 461463. Google Scholar
Litvinova, V.V. and Nikitin, Y., Asymptotic efficiency and local optimality of tests based on two-sample U- and V-statistics. J. Math. Sci. 152 (2008) 921927. Google Scholar
Y. Nikitin, Asymptotic Efficiency of Nonparametric Tests. Cambridge University Press, New York (1995).
E.S. Pearson and H.O Hartley, Biometrika Tables for Statisticians II. Cambridge University Press, New York (1972).
Sethuraman, J., On the probability of large deviations of families of sample means. Ann. Math. Stat. 35 (1964) 13041316. Google Scholar
Sethuraman, J., On the probability of large deviations of the mean for random variables in D [ 0,1 ] . Ann. Math. Stat. 36 (1965) 280285. Google Scholar
Stephens, M.A., The goodness-of-fit statistic V N: distribution and significance points. Biometrika 52 (1965) 309321. Google Scholar
Wieand, H.S., A condition under which the Pitman and Bahadur approaches to efficiency coincide. Ann. Stat. 4 (1976) 10031011. Google Scholar
Withers, C.S. and Nadarajah, S., Power of a class of goodness-of-fit test I. ESAIM : PS 13 (2009) 283300. Google Scholar