Intermediate Approach to Comparison of Some Goodness-of-Fit Tests
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DOI: 10.1023/A:1014669423096
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References listed on IDEAS
- Ledwina, Teresa, 1987. "An expansion of the index of large deviations for linear rank statistics," Statistics & Probability Letters, Elsevier, vol. 5(4), pages 247-248, June.
- Inglot, Tadeusz, 2000. "On large deviation theorem for data-driven Neyman's statistic," Statistics & Probability Letters, Elsevier, vol. 47(4), pages 411-419, May.
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Cited by:
- Janssen Arnold, 2003. "Which power of goodness of fit tests can really be expected: intermediate versus contiguous alternatives," Statistics & Risk Modeling, De Gruyter, vol. 21(4), pages 301-326, April.
- Jan Mielniczuk & Małgorzata Wojtyś, 2010. "Estimation of Fisher information using model selection," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 72(2), pages 163-187, September.
- Nicolai Bissantz & Gerda Claeskens & Hajo Holzmann & Axel Munk, 2009. "Testing for lack of fit in inverse regression—with applications to biophotonic imaging," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 25-48, January.
- Escanciano, J. Carlos & Lobato, Ignacio N., 2009. "An automatic Portmanteau test for serial correlation," Journal of Econometrics, Elsevier, vol. 151(2), pages 140-149, August.
- M. Bogdan & K. Bogdan & A. Futschik, 2002. "A Data Driven Smooth Test for Circular Uniformity," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(1), pages 29-44, March.
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Keywords
Intermediate efficiency; vanishing shortcoming; goodness-of-fit test; data driven test; smooth test; Schwarz rule;All these keywords.
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