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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.12
- 수록면
- 1,543 - 1,550 (8page)
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In this paper, we study Bayesian estimation for the finite population proportion in binary data under selection bias. We use a Bayesian nonignorable selection model to accommodate the selection mechanism. We compare four possible estimators of the nite population proportions based on data analysis as well as Monte Carlo simula-tion. It turns out that nonignorable selection model might be useful for weekly biased samples.
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참고문헌 (7)
참고문헌 신청
1. [학술지(정기간행물)] - 곽상규 / 2012 / Bayesian estimation for finite population proportions in multinomial data / 한국데이터정보과학회지 23 (3) : 587 ~ 593
2. [학술지(정기간행물)] - Malec, D. / 1999 / Model-based small area estimates of overweight prevalence using sample selection adjustment / Statistics in Medicine 18 : 3189 ~ 3200
3. [단행본] - Nandram, B. / 2007 / Bayesian predictive inference under informative sampling via surrogate samples, In Bayesian Statistics and Its Applications / Anamaya : 356 ~ 374
4. [학술지(정기간행물)] - Nandram, B. / 2013 / Bayesian predictive inference of a finite population proportion under selection bias / Statistical Methodology 11 : 1 ~ 21
5. [학술지(정기간행물)] - Nandram, B. / 2013 / Bayesian predictive inference of a finite population proportion under selection bias / Statistical Methodology 11 : 1 ~ 21
2. [학술지(정기간행물)] - Malec, D. / 1999 / Model-based small area estimates of overweight prevalence using sample selection adjustment / Statistics in Medicine 18 : 3189 ~ 3200
3. [단행본] - Nandram, B. / 2007 / Bayesian predictive inference under informative sampling via surrogate samples, In Bayesian Statistics and Its Applications / Anamaya : 356 ~ 374
4. [학술지(정기간행물)] - Nandram, B. / 2013 / Bayesian predictive inference of a finite population proportion under selection bias / Statistical Methodology 11 : 1 ~ 21
5. [학술지(정기간행물)] - Nandram, B. / 2013 / Bayesian predictive inference of a finite population proportion under selection bias / Statistical Methodology 11 : 1 ~ 21
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UCI(KEPA) : I410-ECN-0101-2018-041-001374412