Litcius/Paper detail

Stochastic properties of generalized finite <i>α</i>-mixtures

Omid Shojaee, Majid Asadi, Maxim Finkelstein

2021Probability in the Engineering and Informational Sciences12 citationsDOI

Abstract

Most of the real-life populations are heterogeneous and homogeneity is often just a simplifying assumption for the relevant statistical analysis. Mixtures of lifetime distributions that correspond to homogeneous subpopulations were intensively studied in the literature. Various distributional and stochastic properties of finite and continuous mixtures were discussed. In this paper, following recent publications, we develop further a mixture concept in the form of the generalized α-mixtures that include all mixture models that are widely explored in the literature. We study some main stochastic properties of the suggested mixture model, that is, aging and appropriate stochastic comparisons. Some relevant examples and counterexamples are given to illustrate our findings.

Topics & Concepts

Homogeneity (statistics)CounterexampleHomogeneousMathematicsApplied mathematicsStochastic modellingMixture modelStatistical physicsComputer scienceStatisticsDiscrete mathematicsCombinatoricsPhysicsStatistical Distribution Estimation and ApplicationsBayesian Methods and Mixture ModelsStochastic processes and statistical mechanics