A Measure of Inaccuracy in Concomitants of Ordered Random Variables under Farlie-Gumbel-Morgenstern Family
Mohamed Said Mohamed Mahmoud;
Abstract
In communication theory, for possible outcomes of an experiment, we have two basic problems
for the statement of the experimenter: we may not have enough information (vague statement) or some
of the information may be incorrect, which make inaccurate in either or both of these situations. In this
article, a measure of inaccuracy and its residual between distributions of concomitants of generalized order
statistics (1os) and parent random variable are extended. Results of inaccuracy for family distributions and
stochastic comparisons are obtained. Furthermore, some properties of the proposed measure are discussed.
The unique characterization of the distribution function of parent random variable by the inaccuracy is
shown.
for the statement of the experimenter: we may not have enough information (vague statement) or some
of the information may be incorrect, which make inaccurate in either or both of these situations. In this
article, a measure of inaccuracy and its residual between distributions of concomitants of generalized order
statistics (1os) and parent random variable are extended. Results of inaccuracy for family distributions and
stochastic comparisons are obtained. Furthermore, some properties of the proposed measure are discussed.
The unique characterization of the distribution function of parent random variable by the inaccuracy is
shown.
Other data
| Title | A Measure of Inaccuracy in Concomitants of Ordered Random Variables under Farlie-Gumbel-Morgenstern Family | Authors | Mohamed Said Mohamed Mahmoud | Keywords | Concomitants; Generalized order statistics; Inaccuracy; Kullback-Leibler divergence; Shannon entropy | Issue Date | 1-Dec-2019 | Publisher | Filomat | Journal | Filomat | Volume | 33 | Issue | 15 | DOI | https://doi.org/10.2298/FIL1915931M |
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