Mills' ratio: Reciprocal convexity and functional inequalities
\'Arp\'ad Baricz

TL;DR
This paper establishes conditions under which the Mills ratio of a continuous distribution on (0,∞) is reciprocally convex or concave, with detailed application to the gamma distribution.
Contribution
It provides new sufficient conditions for reciprocal convexity or concavity of Mills ratios, extending understanding of their functional inequalities.
Findings
Derived conditions for reciprocal convexity of Mills ratio.
Applied results to gamma distribution's Mills ratio.
Enhanced theoretical understanding of Mills ratio properties.
Abstract
This note contains sufficient conditions for the probability density function of an arbitrary continuous univariate distribution, supported on such that the corresponding Mills ratio to be reciprocally convex (concave). To illustrate the applications of the main results, the reciprocal convexity (concavity) of Mills ratio of the gamma distribution is discussed in details.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Inequalities and Applications · Advanced Statistical Methods and Models · Point processes and geometric inequalities
