Fixed-α and fixed-β efficiencies

Christopher S. Withers; Saralees Nadarajah

ESAIM: Probability and Statistics (2013)

  • Volume: 17, page 224-235
  • ISSN: 1292-8100

Abstract

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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.

How to cite

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Withers, Christopher S., and Nadarajah, Saralees. "Fixed-α and fixed-β efficiencies." ESAIM: Probability and Statistics 17 (2013): 224-235. <http://eudml.org/doc/273617>.

@article{Withers2013,
abstract = {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.},
author = {Withers, Christopher S., Nadarajah, Saralees},
journal = {ESAIM: Probability and Statistics},
keywords = {bahadur efficiency; fixed-α efficiency; fixed-β efficiency; goodness-of-fit tests; Hodges–Lehmann efficiency; Bahadur efficiency; fixed-$\alpha $ efficiency; fixed-$\beta $ efficiency; Hodges-Lehmann efficiency},
language = {eng},
pages = {224-235},
publisher = {EDP-Sciences},
title = {Fixed-α and fixed-β efficiencies},
url = {http://eudml.org/doc/273617},
volume = {17},
year = {2013},
}

TY - JOUR
AU - Withers, Christopher S.
AU - Nadarajah, Saralees
TI - Fixed-α and fixed-β efficiencies
JO - ESAIM: Probability and Statistics
PY - 2013
PB - EDP-Sciences
VL - 17
SP - 224
EP - 235
AB - 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.
LA - eng
KW - bahadur efficiency; fixed-α efficiency; fixed-β efficiency; goodness-of-fit tests; Hodges–Lehmann efficiency; Bahadur efficiency; fixed-$\alpha $ efficiency; fixed-$\beta $ efficiency; Hodges-Lehmann efficiency
UR - http://eudml.org/doc/273617
ER -

References

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  1. [1] I.G. Abrahamson, Exact Bahadur efficiences for they Kolmogorov–Smirnov and Kiefer one- and two-sample statistics. Ann. Math. Stat.38 (1967) 1475–1490. Zbl0157.48003MR214192
  2. [2] T.W. Anderson and D.A. Darling, Asymptotic theory of certain ‘goodness of fit’ criteria based on stochastic processes. Ann. Math. Stat.23 (1952) 193–212. Zbl0048.11301MR50238
  3. [3] R.R. Bahadur, Stochastic comparison of tests. Ann. Math. Stat.31 (1960) 276–295. Zbl0201.52203MR116413
  4. [4] R.R. Bahadur, An optimal property of the likelihood ratio statistic, Proc. of the 5th Berkeley Symposium 1 (1966) 13–26. Zbl0211.50901MR216637
  5. [5] R.R. Bahadur, Rates of convergence of estimates and test statistics. Ann. Math. Stat.38 (1967) 303–324. Zbl0201.52106MR207085
  6. [6] L.D. Brown, Non-local asymptotic optimality of appropriate likelihood ratio tests. Ann. Math. Stat.42 (1971) 1206–1240. Zbl0247.62008MR314167
  7. [7] H. Chernoff, A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations. Ann. Math. Stat.23 (1952) 493–507. Zbl0048.11804MR57518
  8. [8] R. Courant and D. Hilbert, Methods of Mathematical Physics I. Wiley, New York (1989). Zbl0729.00007MR1013360
  9. [9] A.B. Hoadley, The theory of large deviations with statistical applictions. University of Califonia, Berkeley, Unpublished dissertation (1965). MR2615400
  10. [10] A.B. Hoadley, On the probability of large deviations of functions of several empirical cumulative distribution functions. Ann. Math. Stat.38 (1967) 360–382. Zbl0245.62046MR230417
  11. [11] J.L. Hodges and E.L. Lehmann, The efficiency of some nonparametric competitors of the t-test. Ann. Math. Stat.27 (1956) 324–335. Zbl0075.29206MR79383
  12. [12] M. Kac, J. Kiefer and J. Wolfowitz, On tests of normality and other tests of goodness of fit based on distance methods. Ann. Math. Stat.26 (1955) 189–11. Zbl0066.12301MR70919
  13. [13] W.C.M. Kallenberg and A.J. Koning, On Wieand’s theorem. Stat. Probab. Lett.25 (1995) 121–132. Zbl0841.62012MR1365029
  14. [14] W.C.M. Kallenberg and T. Ledwina, On local and nonlocal measures of efficiency. Ann. Stat.15 (1987) 1401–1420. Zbl0651.62040MR913565
  15. [15] A.N. Kolmogorov, Confidence limits for an unknown distribution function. Ann. Math. Stat.12 (1941) 461–463. Zbl0060.30514MR6684
  16. [16] V.V. Litvinova and Y. Nikitin, Asymptotic efficiency and local optimality of tests based on two-sample U- and V-statistics. J. Math. Sci.152 (2008) 921–927. Zbl1288.62070MR2742909
  17. [17] Y. Nikitin, Asymptotic Efficiency of Nonparametric Tests. Cambridge University Press, New York (1995). Zbl1171.62031MR1335235
  18. [18] E.S. Pearson and H.O Hartley, Biometrika Tables for Statisticians II. Cambridge University Press, New York (1972). Zbl0192.26302MR359241
  19. [19] J. Sethuraman, On the probability of large deviations of families of sample means. Ann. Math. Stat.35 (1964) 1304–1316. Zbl0147.18803MR179870
  20. [20] J. Sethuraman, On the probability of large deviations of the mean for random variables in D [ 0,1 ] . Ann. Math. Stat.36 (1965) 280–285. Zbl0147.18804MR172316
  21. [21] M.A. Stephens, The goodness-of-fit statistic VN: distribution and significance points. Biometrika52 (1965) 309–321. Zbl0192.26106MR207081
  22. [22] H.S. Wieand, A condition under which the Pitman and Bahadur approaches to efficiency coincide. Ann. Stat.4 (1976) 1003–1011. Zbl0351.62033MR440790
  23. [23] C.S. Withers and S. Nadarajah, Power of a class of goodness-of-fit test I. ESAIM : PS 13 (2009) 283–300. Zbl1181.62066MR2528085

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