Premium
AN ITERATIVE METHOD FOR ESTIMATION OF PARAMETERS IN A CLUSTERED SAMPLING MODEL
Author(s) -
Scott David J.,
Qian Wang Dong
Publication year - 1990
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1990.tb01027.x
Subject(s) - contingency table , estimation , maximum likelihood , sampling (signal processing) , statistics , computer science , iterative method , table (database) , mathematics , algorithm , data mining , engineering , filter (signal processing) , computer vision , systems engineering
Summary This paper considers an iterative method for obtaining maximum likelihood estimates for a contingency table derived from a clustered sampling model. Comparisons are made with other methods proposed in the literature.