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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.11
- 수록면
- 1,353 - 1,362 (10page)
- DOI
- 10.7465/jkdi.2021.32.6.1353
이용수
초록· 키워드
오류제보하기
A non-probability sample is a sample in which the probability of selection is unknown, and not all individual in the population has a chance of being selected. Since non-probability sampling does not require a survey frame, it is a fast, inexpensive, and comfortable way of obtaining data. However, using the non-probability samples can be risky because they may obtain several kinds of biases, such as frame coverage bias, selection bias, and non-response. In order to solve these problems, we suggest the method for the prediction of unknown responses. We apply the Bayesian hierarchical model for analyzing the probability of selection and use the Metropolis-Hastings sampler and Laplace approximation. We predict the response of non-sampled groups using Bayesian bootstrap in simulation data and the bone mineral density data in NHANES III.
목차
Abstract
1. Introduction
2. Statistical methodology
3. Simulation study
4. Real data analysis
5. Concluding remarks
References
참고문헌 (19)
참고문헌 신청
안수경 / 2019 / Hierarchical Bayesian pattern mixture models for binary data from small area / 한국데이터정보과학회지 30(6):1409~1421
Cowles, M. K. / 1996 / Markov chain Monte Carlo convergence diagnostics : A comparative review / Journal of the American Statistical Association 91:883~904
Cummings, S. R. / 1993 / Bone density at various sites for prediction of hip fractures / The Lancet 341:72~75
Elliott, M. R. / 2017 / Inference for Non-probability Samples / Statistical Science 32:249~264
Geweke, J. / 1992 / Evaluating the accuracy of sampling-Based approaches to the calculation of posterior moments / Bayesian Statistics 4:169~193
Cowles, M. K. / 1996 / Markov chain Monte Carlo convergence diagnostics : A comparative review / Journal of the American Statistical Association 91:883~904
Cummings, S. R. / 1993 / Bone density at various sites for prediction of hip fractures / The Lancet 341:72~75
Elliott, M. R. / 2017 / Inference for Non-probability Samples / Statistical Science 32:249~264
Geweke, J. / 1992 / Evaluating the accuracy of sampling-Based approaches to the calculation of posterior moments / Bayesian Statistics 4:169~193
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UCI(KEPA) : I410-ECN-0101-2022-041-000042647