Stochastic monotonicity of dependent variables given their sum
Franco Pellerey () and
Jorge Navarro ()
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Franco Pellerey: Politecnico di Torino
Jorge Navarro: Universidad de Murcia
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2022, vol. 31, issue 2, No 16, 543-561
Abstract:
Abstract Given a finite set of independent random variables, assume one can observe their sum, and denote with s its value. Efron in 1965, and Lehmann in 1966, described conditions on the involved variables such that each of them stochastically increases in the value s, i.e., such that the expected value of any non-decreasing function of the variable increases as s increases. In this paper, we investigate conditions such that this stochastic monotonicity property is satisfied when the assumption of independence is removed. Comparisons in the stronger likelihood ratio order are considered as well.
Keywords: Stochastic orders; Likelihood ratio order; Logconcave densities; Schur-constant survival functions; Primary 60E15; 90B25; Secondary 62E99 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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DOI: 10.1007/s11749-021-00789-5
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