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Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables
Applications of Mathematics, Tome 59 (2014) no. 6, pp. 697-714 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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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.
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.
DOI : 10.1007/s10492-014-0080-4
Classification : 20B10, 60E15, 62E10, 62N05
Keywords: characterization; entropy; weighted residual (past) inaccuracy; proportional (reversed) hazard model 
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     author = {Kundu, Chanchal},
     title = {Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables},
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     year = {2014},
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Kundu, Chanchal. Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables. Applications of Mathematics, Tome 59 (2014) no. 6, pp. 697-714. doi: 10.1007/s10492-014-0080-4

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