지원사업
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
- 2019.11
- 수록면
- 1,409 - 1,421 (13page)
- DOI
- 10.7465/jkdi.2019.30.6.1409
이용수
초록· 키워드
오류제보하기
The Purpose of many surveys is to estimate the probability of a group having certain characteristics. However, if the survey has a lot of missing data, we may get incorrect results. So a lot of research has been done on mission data since the past. There are many methods to handle missing data, so it is better to use various methods than one. We estimate the proportion of finite population using the Bayesian method using the pattern mixture model for binary data. We consider a hierarchical Bayesian model to increase the reliability of small data. We have applied various cases on the hyper-parameter of the prior distribution of proportion for nonresponse to confirm that the proportion estimate is not sensitive. We also confirmed that small area estimation is better than the individual area estimation.
목차
Abstract
1. Introduction
2. Pattern mixture model
3. Numerical study
4. Concluding remarks
References
참고문헌 (7)
참고문헌 신청
안수경 / 2019 / Bayesian pattern mixture model under nonignorable nonresponse for binary data / 한국데이터정보과학회지 30(4):907~917
Ekholm, A. / 1998 / The muscatine children's obesity data reanalysed using pattern mixture models / Applied Statistics 47:251~263
Little, R. J. A. / 1993 / Pattern-mixture models for multivariate incomplete data / Journal of the American Statistical Association 88:125~134
Little, R. J. A. / 2002 / Statistical analysis with missing data / Wiley
Nandram, B. / 2002 / Hierarchical Bayesian nonresponse models for binary data from small areas with uncertainty about ignorability / Journal of the American Statistical Association 97:381~388
Ekholm, A. / 1998 / The muscatine children's obesity data reanalysed using pattern mixture models / Applied Statistics 47:251~263
Little, R. J. A. / 1993 / Pattern-mixture models for multivariate incomplete data / Journal of the American Statistical Association 88:125~134
Little, R. J. A. / 2002 / Statistical analysis with missing data / Wiley
Nandram, B. / 2002 / Hierarchical Bayesian nonresponse models for binary data from small areas with uncertainty about ignorability / Journal of the American Statistical Association 97:381~388
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Bayesian pattern mixture model under nonignorable nonresponse for binary data
한국데이터정보과학회지
2019 .07
-
Computational issues on the blocked Gibbs algorithm
한국데이터정보과학회지
2023 .11
-
Bayesian Pattern Mixture Model for Longitudinal Binary Data with Nonignorable Missingness
CSAM(Communications for Statistical Applications and Methods)
2015 .11
-
Bayesian methods in clinical trials with applications to medical devices
CSAM(Communications for Statistical Applications and Methods)
2017 .11
-
A Bayesian model for two-way contingency tables with nonignorable nonresponse from small areas
한국데이터정보과학회지
2016 .02
-
Bayesian estimation of median household income for small areas with some longitudinal pattern
한국데이터정보과학회지
2015 .06
-
Bayesian pooling for contingency tables from small areas
한국데이터정보과학회지
2016 .12
-
확률강우분포의 매개변수 및 불확실성 추정을 위한 베이지안 기법의 비교
한국환경과학회지
2019 .01
-
A Bayesian approach with propensity scores for prediction of unknown responses
한국데이터정보과학회지
2021 .11
-
Simultaneous modeling of mean and variance in small area estimation
한국데이터정보과학회지
2016 .10
-
Classical and Bayesian inferences of stress-strength reliability model based on record data
CSAM(Communications for Statistical Applications and Methods)
2024 .09
-
Classical and Bayesian studies for a new lifetime model in presence of type-II censoring
CSAM(Communications for Statistical Applications and Methods)
2019 .07
-
Bayesian analysis of a sensitive proportion for a small area
한국데이터정보과학회지
2019 .11
-
Bayesian analysis of a sensitive proportion
한국데이터정보과학회지
2019 .07
-
베이지안 다변량 수용 모델을 이용한 초미세먼지 주요 오염원 및 공간분포 추정
한국대기환경학회 학술대회논문집
2022 .10
-
Prediction of Exit Polls for the Presidential Election in 2007 and 2013 by Using Nonresponse Models
Journal of The Korean Data Analysis Society
2017 .01
-
Bayesian Curve-Fitting in Semiparametric Small Area Models with Measurement Errors
CSAM(Communications for Statistical Applications and Methods)
2015 .07
-
A comparative study in Bayesian semiparametric approach to small area estimation
한국데이터정보과학회지
2016 .10
-
Comparison of missing data methods in clustered survival data using Bayesian adaptive B-Spline estimation
CSAM(Communications for Statistical Applications and Methods)
2018 .03
-
Objective Bayesian inference based on upper record values from Rayleigh distribution
CSAM(Communications for Statistical Applications and Methods)
2018 .07
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2020-041-000137447