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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.7
- 수록면
- 933 - 942 (10page)
- DOI
- 10.7465/jkdi.2019.30.4.933
이용수
초록· 키워드
오류제보하기
The problem of examining how well a assumed distribution fits the data of a sample is of significant that has to be examined prior to any inferential process. In this paper, a new goodness-of-fit test for an exponential distribution based on progressive censored data is proposed. Using Monte Carlo simulation studies, the present researchers have observed that the proposed test for exponentiality is consistent and quite powerful in comparison with existing goodness-of-fit tests based on progressive censored data. Also, the new test statistic for a real data set is used and the results show that our new test statistic performs well.
목차
Abstract
1. Introduction
2. Proposed tests
3. Illustrative examples and simulation results
4. Conclusions
References
참고문헌 (10)
참고문헌 신청
Balakrishnan, N / 2002 / Goodness-of-fit tests and model validity / Birkhauser
이경준 / 2017 / 일반화된 로렌츠 곡선을 기반으로 한 Gumbel 분포의 적합도 검정 / 한국데이터정보과학회지 28(4):733~742
이원희 / 2019 / Goodness-of-fit tests based on generalized Lorenz curve for progressively Type II censored data from a location-scale distributions / Communications for Statistical Applications and Methods 26(2):191~203
Lorenz, M. O. / 1905 / Methods of measuring the concentration of wealth / Publications of the American Statistical Association 9:209~219
Pakyari, R. / 2012 / A general purpose approximate goodness-of-fit for progressively Type II censored data / IEEE Transactions on Reliability 61:238~244
이경준 / 2017 / 일반화된 로렌츠 곡선을 기반으로 한 Gumbel 분포의 적합도 검정 / 한국데이터정보과학회지 28(4):733~742
이원희 / 2019 / Goodness-of-fit tests based on generalized Lorenz curve for progressively Type II censored data from a location-scale distributions / Communications for Statistical Applications and Methods 26(2):191~203
Lorenz, M. O. / 1905 / Methods of measuring the concentration of wealth / Publications of the American Statistical Association 9:209~219
Pakyari, R. / 2012 / A general purpose approximate goodness-of-fit for progressively Type II censored data / IEEE Transactions on Reliability 61:238~244
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UCI(KEPA) : I410-ECN-0101-2019-041-000951453