Log-concavity and monotonicity of hazard and reversed hazard functions of univariate and multivariate skew-normal distributions
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DOI: 10.1007/s00184-010-0321-9
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Cited by:
- Søren Asmussen & Jaakko Lehtomaa, 2017. "Distinguishing Log-Concavity from Heavy Tails," Risks, MDPI, vol. 5(1), pages 1-14, February.
- Manuel Franco & Juana-María Vivo & Debasis Kundu, 2020. "A Generator of Bivariate Distributions: Properties, Estimation, and Applications," Mathematics, MDPI, vol. 8(10), pages 1-30, October.
- Hossein Negarestani & Ahad Jamalizadeh & Sobhan Shafiei & Narayanaswamy Balakrishnan, 2019. "Mean mixtures of normal distributions: properties, inference and application," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(4), pages 501-528, May.
- Mitchell Watt, 2021. "Concavity and Convexity of Order Statistics in Sample Size," Papers 2111.04702, arXiv.org, revised Oct 2024.
- Kampkötter, Patrick & Sliwka, Dirk, 2014. "Wage premia for newly hired employees," Labour Economics, Elsevier, vol. 31(C), pages 45-60.
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Keywords
Log-concavity; Monotonicity; Hazard gradient; Reversed hazard function; Multivariate normal distribution; Log-concave density function; Skew-normal distributions; Multivariate skew-normal distributions;All these keywords.
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