Suppose that a geometrically distributed number of observations are available from an absolutely continuous distribution function $F$, within this set of observations denote the random number of records by $M$. This is called geometric random record model. In this paper, characterizations of $F$ are provided in terms of the subsequences entropies of records conditional on events ${M geq n}$ or ${M = n}$ in a geometric random record model. Characterization results for symmetric distributions are also presented based on entropies of upper and lower records in a random record model.
Fashandi,M , Khosravi,A and Ahmadi,J . (2022). Characterizations Using Entropies of Records in a Geometric Random Record Model. Journal of the Iranian Statistical Society, 13(1), 31-42.
MLA
Fashandi,M , , Khosravi,A , and Ahmadi,J . "Characterizations Using Entropies of Records in a Geometric Random Record Model", Journal of the Iranian Statistical Society, 13, 1, 2022, 31-42.
HARVARD
Fashandi M, Khosravi A, Ahmadi J. (2022). 'Characterizations Using Entropies of Records in a Geometric Random Record Model', Journal of the Iranian Statistical Society, 13(1), pp. 31-42.
CHICAGO
M Fashandi, A Khosravi and J Ahmadi, "Characterizations Using Entropies of Records in a Geometric Random Record Model," Journal of the Iranian Statistical Society, 13 1 (2022): 31-42,
VANCOUVER
Fashandi M, Khosravi A, Ahmadi J. Characterizations Using Entropies of Records in a Geometric Random Record Model. JIRSS. 2022;13(1):31-42.
Journal of the Iranian Statistical Society