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Heterogeneity Analysis of the Male Birth Ratio Data
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 Title & Authors
Heterogeneity Analysis of the Male Birth Ratio Data
Lim, Hwa-Kyung; Song, Seuck-Heun; Song, Ju-Won;
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Since 1990, identifying the sex of fetus and illegal abortion has brought the sex ratio imbalance at birth in Korea due to a notion of preferring a son to a daughter, socio-economic development, population policy, and so forth. Although there have been many researches such as time series analysis and region difference analysis to monitor this sex ratio imbalance, they have a defect that time and space could not be included in the analysis simultaneously. This study analyzes the sex ratio imbalance at birth, taking into account time and region at the same time. The analysis considered the numbers of male and female babies, who were born as the third or latter in their families, in 2000 and 2001 at 234 Gu / Si / Goon administrative districts. Here, we suggest a mixture model of binomial distributions, assuming heterogeneous populations. The estimation of the location parameters, weights and correlation coefficient of the mixture model is conducted by the EM algorithm, and the heterogeneity of the regions is expressed as a picture using ArcView GIS.
Binomial data;male birth ratio;heterogeneity;mixture model;EM-algorithm;
 Cited by
조남훈, 서문희 (1994). 성비의 불균형 변동추이와 대응방안, <한국보건사회연구보고서>, 94-16

서문희 (1995). 우리나라 출생성비 불균형의 지역차이에 관한 연구, <보건사회연구>, 15, 143-173

김응식, 박상화 (1996). 지역별 출생성비의 시계열적 추이에 관한 연구, <한국보건통계학회지>, 21, 29-36

임화경, 송석헌, 송주원, 전수영 (2008). 다변량 다수준 이항자료를 위한 일반화선형혼합모형, <응용통계연구>, 21, 923-932

통계청 (1980-2005). 인구동태통계연보

Oberg, St. (1990). Spatial mapping of sex Ratios, Popnet, 18, 5-10

Bohning, D. (1999). Computer Assisted Analysis of Mixtures and Applications: Meta-Analysis, Disease Mapping and Others, Chapman & Hall/CRC, London