"Grouped" data are defined to be the result of observing continuous variables only up to the nearest interval, rectangle or triangle. This paper traces the development of statistical methods for grouped data, focusing on the major results and their interpretations. It emphasizes the impact of likelihood and Bayesian ideas on the analysis of grouped data, particularly as they influence current work.
@article{1177012601,
author = {Heitjan, Daniel F.},
title = {Inference from Grouped Continuous Data: A Review},
journal = {Statist. Sci.},
volume = {4},
number = {4},
year = {1989},
pages = { 164-179},
language = {en},
url = {http://dml.mathdoc.fr/item/1177012601}
}
Heitjan, Daniel F. Inference from Grouped Continuous Data: A Review. Statist. Sci., Tome 4 (1989) no. 4, pp. 164-179. http://gdmltest.u-ga.fr/item/1177012601/