Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables

Chanchal Kundu

Applications of Mathematics (2014)

  • Volume: 59, Issue: 6, page 697-714
  • ISSN: 0862-7940

Abstract

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In survival studies and life testing, the data are generally truncated. Recently, authors have studied a weighted version of Kerridge inaccuracy measure for truncated distributions. In the present paper we consider weighted residual and weighted past inaccuracy measure and study various aspects of their bounds. Characterizations of several important continuous distributions are provided based on weighted residual (past) inaccuracy measure.

How to cite

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Kundu, Chanchal. "Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables." Applications of Mathematics 59.6 (2014): 697-714. <http://eudml.org/doc/262038>.

@article{Kundu2014,
abstract = {In survival studies and life testing, the data are generally truncated. Recently, authors have studied a weighted version of Kerridge inaccuracy measure for truncated distributions. In the present paper we consider weighted residual and weighted past inaccuracy measure and study various aspects of their bounds. Characterizations of several important continuous distributions are provided based on weighted residual (past) inaccuracy measure.},
author = {Kundu, Chanchal},
journal = {Applications of Mathematics},
keywords = {characterization; entropy; weighted residual (past) inaccuracy; proportional (reversed) hazard model; characterization; entropy; weighted residual (past) inaccuracy; proportional (reversed) hazard model},
language = {eng},
number = {6},
pages = {697-714},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables},
url = {http://eudml.org/doc/262038},
volume = {59},
year = {2014},
}

TY - JOUR
AU - Kundu, Chanchal
TI - Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables
JO - Applications of Mathematics
PY - 2014
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 59
IS - 6
SP - 697
EP - 714
AB - In survival studies and life testing, the data are generally truncated. Recently, authors have studied a weighted version of Kerridge inaccuracy measure for truncated distributions. In the present paper we consider weighted residual and weighted past inaccuracy measure and study various aspects of their bounds. Characterizations of several important continuous distributions are provided based on weighted residual (past) inaccuracy measure.
LA - eng
KW - characterization; entropy; weighted residual (past) inaccuracy; proportional (reversed) hazard model; characterization; entropy; weighted residual (past) inaccuracy; proportional (reversed) hazard model
UR - http://eudml.org/doc/262038
ER -

References

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