
Understanding Complex Design Features via Design Effect Models
Author(s) -
Inho Park
Publication year - 2015
Publication title -
eung'yong tong'gye yeon'gu/the korean journal of applied statistics
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2383-5818
pISSN - 1225-066X
DOI - 10.5351/kjas.2015.28.6.1217
Subject(s) - sampling design , computer science , sampling (signal processing) , stratified sampling , probabilistic design , estimator , efficiency , design of experiments , function (biology) , statistics , engineering design process , mathematics , engineering , sociology , mechanical engineering , evolutionary biology , population , demography , filter (signal processing) , computer vision , biology