Back to Search Start Over

Concentration curve for truncated and censored data.

Authors :
Tze, S.
Source :
Mathematical Methods of Statistics; Apr2014, Vol. 23 Issue 2, p151-157, 7p
Publication Year :
2014

Abstract

Concentration curve is the inverse Lorenz curve. Together, they form the basis for most measures of distributional inequality. In this paper, we consider the empirical estimator of the concentration curve when the data are subjected to random left truncation and/or right censorship. Simultaneous strong Gaussian approximations for the associated Lorenz and normed concentration processes are established under appropriate assumptions. Functional laws of the iterated logarithm for the two processes are established as easy consequences. The construction provides a solid foundation for the study of functional statistics based on the two processes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10665307
Volume :
23
Issue :
2
Database :
Complementary Index
Journal :
Mathematical Methods of Statistics
Publication Type :
Academic Journal
Accession number :
96716422
Full Text :
https://doi.org/10.3103/S1066530714020057