Consider testing H0 : F ∈ ω0 against H1 : F ∈ ω1 for a random sample X1, ..., Xn from F, where ω0 and ω1 are two disjoint sets of cdfs on ℝ = (-∞, ∞). Two non-local types of efficiencies, referred to as the fixed-α and fixed-β efficiencies, are introduced for this two-hypothesis testing situation. Theoretical tools are developed to evaluate these efficiencies for some of the most usual goodness of fit tests (including the Kolmogorov-Smirnov tests). Numerical comparisons are provided using several examples.
Mots clés : bahadur efficiency, fixed-α efficiency, fixed-β efficiency, goodness-of-fit tests, Hodges-Lehmann efficiency
@article{PS_2013__17__224_0, author = {Withers, Christopher S. and Nadarajah, Saralees}, title = {Fixed-$\alpha $ and fixed-$\beta $ efficiencies}, journal = {ESAIM: Probability and Statistics}, pages = {224--235}, publisher = {EDP-Sciences}, volume = {17}, year = {2013}, doi = {10.1051/ps/2011143}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/ps/2011143/} }
TY - JOUR AU - Withers, Christopher S. AU - Nadarajah, Saralees TI - Fixed-$\alpha $ and fixed-$\beta $ efficiencies JO - ESAIM: Probability and Statistics PY - 2013 SP - 224 EP - 235 VL - 17 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ps/2011143/ DO - 10.1051/ps/2011143 LA - en ID - PS_2013__17__224_0 ER -
%0 Journal Article %A Withers, Christopher S. %A Nadarajah, Saralees %T Fixed-$\alpha $ and fixed-$\beta $ efficiencies %J ESAIM: Probability and Statistics %D 2013 %P 224-235 %V 17 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/ps/2011143/ %R 10.1051/ps/2011143 %G en %F PS_2013__17__224_0
Withers, Christopher S.; Nadarajah, Saralees. Fixed-$\alpha $ and fixed-$\beta $ efficiencies. ESAIM: Probability and Statistics, Tome 17 (2013), pp. 224-235. doi : 10.1051/ps/2011143. http://archive.numdam.org/articles/10.1051/ps/2011143/
[1] Exact Bahadur efficiences for they Kolmogorov-Smirnov and Kiefer one- and two-sample statistics. Ann. Math. Stat. 38 (1967) 1475-1490. | MR | Zbl
,[2] Asymptotic theory of certain ‘goodness of fit' criteria based on stochastic processes. Ann. Math. Stat. 23 (1952) 193-212. | MR | Zbl
and ,[3] Stochastic comparison of tests. Ann. Math. Stat. 31 (1960) 276-295. | MR | Zbl
,[4] An optimal property of the likelihood ratio statistic, Proc. of the 5th Berkeley Symposium 1 (1966) 13-26. | MR | Zbl
,[5] Rates of convergence of estimates and test statistics. Ann. Math. Stat. 38 (1967) 303-324. | MR | Zbl
,[6] Non-local asymptotic optimality of appropriate likelihood ratio tests. Ann. Math. Stat. 42 (1971) 1206-1240. | MR | Zbl
,[7] A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations. Ann. Math. Stat. 23 (1952) 493-507. | MR | Zbl
,[8] Methods of Mathematical Physics I. Wiley, New York (1989). | MR | Zbl
and ,[9] The theory of large deviations with statistical applictions. University of Califonia, Berkeley, Unpublished dissertation (1965). | MR
,[10] On the probability of large deviations of functions of several empirical cumulative distribution functions. Ann. Math. Stat. 38 (1967) 360-382. | MR | Zbl
,[11] The efficiency of some nonparametric competitors of the t-test. Ann. Math. Stat. 27 (1956) 324-335. | MR | Zbl
and ,[12] On tests of normality and other tests of goodness of fit based on distance methods. Ann. Math. Stat. 26 (1955) 189-11. | MR | Zbl
, and ,[13] On Wieand's theorem. Stat. Probab. Lett. 25 (1995) 121-132. | MR | Zbl
and ,[14] On local and nonlocal measures of efficiency. Ann. Stat. 15 (1987) 1401-1420. | MR | Zbl
and ,[15] Confidence limits for an unknown distribution function. Ann. Math. Stat. 12 (1941) 461-463. | MR | Zbl
,[16] Asymptotic efficiency and local optimality of tests based on two-sample U- and V-statistics. J. Math. Sci. 152 (2008) 921-927. | MR | Zbl
and ,[17] Asymptotic Efficiency of Nonparametric Tests. Cambridge University Press, New York (1995). | MR | Zbl
,[18] Biometrika Tables for Statisticians II. Cambridge University Press, New York (1972). | MR | Zbl
and ,[19] On the probability of large deviations of families of sample means. Ann. Math. Stat. 35 (1964) 1304-1316. | MR | Zbl
,[20] On the probability of large deviations of the mean for random variables in D [ 0,1 ] . Ann. Math. Stat. 36 (1965) 280-285. | MR | Zbl
,[21] The goodness-of-fit statistic VN: distribution and significance points. Biometrika 52 (1965) 309-321. | MR | Zbl
,[22] A condition under which the Pitman and Bahadur approaches to efficiency coincide. Ann. Stat. 4 (1976) 1003-1011. | MR | Zbl
,[23] Power of a class of goodness-of-fit test I. ESAIM : PS 13 (2009) 283-300. | Numdam | MR | Zbl
and ,Cité par Sources :