2013
DOI: 10.1016/j.endm.2013.07.005
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Log-concavity for Bernstein-type operators using stochastic orders

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“…In applied probability, stochastic orders formalize the concept that one random variable is bigger than another (see [18]) and they have crucial roles in various applications (see e.g. [3], [4], [9], [10], [14], [15], and [16]). Thus, to model the shortened residual lifetimes of the remaining components in a system subject to cascading failures, the concept of stochastic order can be employed.…”
Section: Introductionmentioning
confidence: 99%
“…In applied probability, stochastic orders formalize the concept that one random variable is bigger than another (see [18]) and they have crucial roles in various applications (see e.g. [3], [4], [9], [10], [14], [15], and [16]). Thus, to model the shortened residual lifetimes of the remaining components in a system subject to cascading failures, the concept of stochastic order can be employed.…”
Section: Introductionmentioning
confidence: 99%