Characterizations and modelling of multivariate lack of memory property

DOI10.1007/s00184-006-0042-2zbMath1100.62060OpenAlexW2070705405MaRDI QIDQ851231

H. V. Kulkarni

Publication date: 17 November 2006

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-006-0042-2

zbMATH Keywords

modellingcharacterizationsshock modelshazard gradientsingular componentmultivariate lack of memory property

Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)

Related Items (10)

Characterizations of the class of bivariate Gompertz distributions ⋮ A weak version of bivariate lack of memory property ⋮ Functional equations involving Sibuya's dependence function ⋮ A class of continuous bivariate distributions with linear sum of hazard gradient components ⋮ Ryu-type extended Marshall-Olkin model with implicit shocks and joint life insurance applications ⋮ Lack-of-partial-memory and aging properties of multivariate generalized Marshall-Olkin distributions ⋮ Sibuya-type bivariate lack of memory property ⋮ A New Variant of the Bivariate Setting the Clock Back to Zero Property ⋮ Discrete line integral on uniform grids: probabilistic interpretation and applications ⋮ The bivariate lack-of-memory distributions

Cites Work

• A Bivariate Extension of the Exponential Distribution
• Shock processes by aftereffects and multivariate lack of memory
• Monotone failure rates for multivariate distributions
• A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families
• A Multivariate Exponential Distribution

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