Open AccessBinomial Regression in Small Area Estimation Method for Estimate Proportion of Cultural Indicator
Author(s) -
Yudistira Yudistira,
Anang Kurnia,
Agus Mohamad Soleh
Publication year - 2018
Publication title -
indonesian journal of statistics and applications
Language(s) - English
Resource type - Journals
ISSN - 2599-0802
DOI - 10.29244/ijsa.v0i0.63
Subject(s) - statistics , negative binomial distribution , estimator , estimation , regression analysis , small area estimation , mathematics , sample (material) , econometrics , regression , survey methodology , sample size determination , sampling (signal processing) , geography , computer science , engineering , chemistry , systems engineering , filter (signal processing) , chromatography , computer vision , poisson distribution
In sampling survey, it was necessary to have sufficient sample size in order to get accurate direct estimator about parameter, but there are many difficulties to fulfill them in practice. Small Area Estimation (SAE) is one of alternative methods to estimate parameter when sample size is not adequate. This method has been widely applied in such variation of model and many fields of research. Our research mainly focused on study how SAE method with binomial regression model is applied to obtained estimate proportion of cultural indicator, especially to estimate proportion of people who appreciate heritages and museums in each regency/city level in West Java Province. Data analysis approach used in our research with resurrected data and variables in order to be compared with previous research. The result later showed that binomial regression model could be used to estimate proportion of cultural indicator in Regency/City in Indonesia with better result than direct estimation method.