Age-smooth properties of mixture models
β Scribed by Jie Mi
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 110 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
The tail behavior or age-smoothness of a lifetime distribution is an important property from both the theoretical and practical points of view. There are several ways of describing tail behavior. One is to use the failure rate, another uses the mean residual life, and a third uses the conditional survival probability. This article discusses whether a mixture of distribution functions re ects the age-smoothness property of the components making up the mixture for each of the above three type descriptors of tail behavior. Using the criteria of tail behavior, the article further deΓΏnes strong and weak subpopulations, and shows that the strong subpopulation tail behavior will asymptotically dominate the mixture population and hence the reliability quality of mixture population can be improved by applying burn-in.
π SIMILAR VOLUMES
In this paper, mixture models were applied to approximate a distribution of a lifetime. As the optimizing criterion, the minimizing of the chi-square statistic was adopted. This method was verified for three mixtures consisting of three distributions for American and Polish populations.
## Abstract This paper develops a smooth mixture of Tobits (SMTobit) model for healthcare expenditure. The model is a generalization of the smoothly mixing regressions framework of Geweke and Keane (__J Econometrics__ 2007; **138**: 257β290) to the case of a Tobitβtype limited dependent variable. A