期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：6
页码：746-752
出版社：IJCSN publisher
摘要：Binary response variables are commonly modeled by binomial models. The binomial overdispersion occurs if the
variability is greater than the variance of assumed model. The overdispersion can be caused by excess zeros. The overdispersion may
produce underestimated standard error which in turn will produce underestimated p-value. Therefore, Zero Inflated Binomial (ZIB)
models are considered to overcome the excess zeros in binomial data. A simulation study is employed to evaluate the performance of
models by using RRMSE and relative bias. The simulation showed that the proposed method SAE ZIB has better fit than SAE ZIB
Synthetic in terms of the smaller RRMSE. The proposed SAE ZIB method applies to unemployment data to estimate proportion of
unemployment in each district/regency during period of August 2016 In Jambi Province, Indonesia. The real data application showed
that SAE ZIB method is better than the direct estimates method in terms of the smaller standard error.
关键词：Small Area Estimation; Zero Inflated Binomial; Unemployment;
