Title:
|
The behavior of locally most powerful tests (English) |
Author:
|
Omelka, Marek |
Language:
|
English |
Journal:
|
Kybernetika |
ISSN:
|
0023-5954 |
Volume:
|
41 |
Issue:
|
6 |
Year:
|
2005 |
Pages:
|
[699]-712 |
Summary lang:
|
English |
. |
Category:
|
math |
. |
Summary:
|
The locally most powerful (LMP) tests of the hypothesis $H: \theta =\theta _0$ against one-sided as well as two-sided alternatives are compared with several competitive tests, as the likelihood ratio tests, the Wald-type tests and the Rao score tests, for several distribution shapes and for location, shape and vector parameters. A simulation study confirms the importance of the condition of local unbiasedness of the test, and shows that the LMP test can sometimes dominate the other tests only in a very restricted neighborhood of $H.$ Hence, we cannot recommend a universal application of the LMP tests in practice. The tests with a high Bahadur efficiency, though not exactly LMP, also seem to be good in the local sense. (English) |
Keyword:
|
testing statistical hypothesis |
Keyword:
|
locally most powerful tests |
MSC:
|
62F03 |
MSC:
|
65C60 |
idZBL:
|
Zbl 1244.62018 |
idMR:
|
MR2193860 |
. |
Date available:
|
2009-09-24T20:12:32Z |
Last updated:
|
2015-03-23 |
Stable URL:
|
http://hdl.handle.net/10338.dmlcz/135687 |
. |
Reference:
|
[1] Brown L. D., Marden J. M.: Local admissibility and local unbiasedness in hypothesis testing problems.Ann. Statist. 20 (1992), 832–852 Zbl 0767.62006, MR 1165595, 10.1214/aos/1176348659 |
Reference:
|
[2] Chibisov D. M.: Asymptotic expansions for some asymptotically pptimal tests.In: Proc. Prague Symp. on Asymptotic Statistics, Volume II (J. Hájek, ed.), Charles University, Prague 1973, pp. 37–68 MR 0400501 |
Reference:
|
[3] Efron B.: Defining the curvature of a statistical problem (with application to second order efficiency).Ann. Statist. 3 (1975), 1189–1242 MR 0428531, 10.1214/aos/1176343282 |
Reference:
|
[4] Gupta A. S., Vermeire L.: Locally optimal tests for multiparameter hypotheses.J. Amer. Statist. Assoc. 81 (1986), 819–825 Zbl 0635.62020, MR 0860517, 10.1080/01621459.1986.10478340 |
Reference:
|
[5] Isaacson S. L.: On the theory of unbiased tests of simple statistical hypothesis specifying the values of two or more parameters.Ann. Math. Statist. 22 (1951), 217–234 MR 0041401, 10.1214/aoms/1177729642 |
Reference:
|
[6] Jurečková J.: $L_1$-derivatives, score function and tests.In: Statistical Data Analysis Based on the $L_1$-Norm and Related Methods (Y. Dodge, ed.), Birkhäuser, Basel 2002, pp. 183–189 |
Reference:
|
[7] Kallenberg W. C. M.: The shortcomming of locally most powerful test in curved exponential families.Ann. Statist. 9 (1981), 673–677 MR 0615444, 10.1214/aos/1176345472 |
Reference:
|
[8] Lehmann E. L.: Testing Statistical Hypothesis.Second edition. Chapman & Hall, New York 1994 |
Reference:
|
[9] Littel R. C., Folks J. L.: A test of equality of two normal population means and variances.J. Amer. Statist. Assoc. 71 (1976), 968–971 MR 0420945, 10.1080/01621459.1976.10480978 |
Reference:
|
[10] Peers H. W.: Likelihood ratio and associated test criteria.Biometrika 58 (1971), 577–587 Zbl 0245.62026, 10.1093/biomet/58.3.577 |
Reference:
|
[11] Ramsey F. L.: Small sample power functions for nonparametric tests of location in the double exponential family.J. Amer. Statist. Assoc. 66 (1971), 149–151 Zbl 0215.26402, 10.1080/01621459.1971.10482236 |
Reference:
|
[12] Witting H.: Mathematische Statistik I.Teubner–Verlag, Stuttgart 1985 Zbl 0581.62001, MR 0943833 |
Reference:
|
[13] Wong P. G., Wong S. P.: A curtailed test for the shape parameter of the Weibull distribution.Metrika 29 (1982), 203–209 Zbl 0492.62022, MR 0685566, 10.1007/BF01893380 |
. |