Estimating Per Capita Rates Using Aggregate Measurements From Groups of Diverse Compositions
- DOI
- 10.2991/jsta.2015.14.2.7How to use a DOI?
- Keywords
- Estimation, Sampling, Grouped data
- Abstract
This paper considers the problem of estimating a variable mean for a population of elements where data are only available as aggregate sums for groups of multiple elements. The proposed model addresses an additional complication created when the group measure includes the contribution of diverse elements that were only partially in operation or present as part of the group during the measurement period. The model also accounts for statistical dependency between the contributions of individuals belonging to the same group. The degree of statistical dependency is reflected in a correlation coefficient parameter, which, while not observable, can be adjusted to reduce heteroscedasticity in the group data. A simple example is provided to illustrate the model.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Donald N. Stengel AU - Priscilla Chaffe-Stengel PY - 2015 DA - 2015/06/30 TI - Estimating Per Capita Rates Using Aggregate Measurements From Groups of Diverse Compositions JO - Journal of Statistical Theory and Applications SP - 192 EP - 203 VL - 14 IS - 2 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.2015.14.2.7 DO - 10.2991/jsta.2015.14.2.7 ID - Stengel2015 ER -