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중도절단자료에 대한 수정된 SHAPIRO-WILK 지수 검정

A Modification of the Shapiro-Wilk Test for Exponentiality Based on Censored Data

  • 발행 : 2008.04.30

초록

본 논문에서는 Kim (2001a)에서 제안한 지수분포에서의 수정된 Shapiro와 Wilk (1972) $W_E$-통계량을 중도절단자료에 적용하였다. 검정통계량은 Samanta와 Schwarz (1988)에서 $W_E$-통계량을 중도절단자료에 대해 수정한 것과 같은 방법으로 정규화 등간격(normalized spacings)을 이용하여 수정하였다. 그 결과 제안된 통계량은 귀무가설에서 중도절단이 없는 경 우와 같은 분포를 갖고 표본크기만 변하게 된다. 제안된 통계량의 검정력을 Samanta와 Schwarz (1988)의 통계량과 비교한 결과, 중도절단이 없는 경우와 마찬가지로 중도절단이 있는 경우에도 변동계수가 1보다 크거나 같은 대립가설에서 제안된 통계량은 더 좋은 검정력을 나타내었다.

Kim (2001a) presented a modification of the Shapiro and Wilk (1972) test for exponentiality based on the ratio of two asymptotically efficient estimates of scale. In this paper we modify this test statistic when the sample is censored. We use the normalized spacings based on the sample data, which was used in Samanta and Schwarz (1988) to modify the Shapiro and Wilk (1972) statistic to the censored data. As a result the modified statistics have the same null distribution as the uncensored case with a corresponding reduction in sample size. Through a simulation study it is found that the proposed statistic has higher power than Samanta and Schwarz (1988) statistic especially for the alternatives with the coefficient of variation greater than or equal to 1.

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참고문헌

  1. Ascher, S. (1990). A survey of tests for exponentiality. Communications in Statistics - Theory and Methods, 19, 1811-1825 https://doi.org/10.1080/03610929008830292
  2. Brain, C. W. and Shapiro, S. S. (1983). A regression test for exponentiality: Censored and complete samples, Technometrics, 25, 69-76 https://doi.org/10.2307/1267728
  3. D'Agostino, R. B. and Stephens, M. A. (1986). Goodness-of-fit Techniques. Marcel Dekker, Inc., New York
  4. Doksum, K. A. and Yandell, B. S. (1984). Tests for exponentiality, In Handbook of Statistics 4: Nonparametric Methods, (eds P. R. Krishnaiah and P. K. Sen), 8, 579-612, North-Holland, Amsterdam
  5. Kim, N. (2001a). A modification of the W test for exponentiality, The Korean Communications in Statistics, 8, 159-171
  6. Kim, N. (2001b). The limit distribution of a modified W-test statistic for exponentiality, The Korean Communications in Statistics, 8, 473-481
  7. Kim, N. (2002). Consistency of a modified W test for exponentiality, The Korean Communications in Statistics, 9, 629-637
  8. Samanta M. and Schwarz, C. J. (1988). The Shapiro-Wilk test for exponentiality based on censored data, Journal of the American Statistical Association, 83, 528-531 https://doi.org/10.2307/2288873
  9. Shapiro, S. S. and Wilk, M. B. (1972). An analysis of variance test for the exponential distribution (complete samples), Technometrics, 14, 355-370 https://doi.org/10.2307/1267427
  10. Spinelli, J. J. and Stephens, M. A. (1987). Tests for exponentiality when origin and scale parameters are unknown, Technometrics, 29, 471-476 https://doi.org/10.2307/1269459
  11. Spurrier, J. D. (1984). An overview of tests for exponentiality, Communications in Statistics - Theory and Methods, 13, 1635-1654 https://doi.org/10.1080/03610928408828782