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| Titel: |
Goodness-of-fit tests for the pareto and lognormal distributions based on multiply truncated samples |
| Auteur: |
Marlin, Paul G. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 13 (1984) nr. 16 pagina's 1965-1979 |
| Jaar: |
1984 |
| Inhoud: |
This article considers the situation where, in the most general case, each observation in a sample has been “truncated” below at a different, but known value. Each observation is truncated in the sense that, had it been 1ess than the truncati on point, it would not have appeared in the sample. A goodness-of-fit test based on Gnedenko' F statistic is developed to test the hypothesis that the underlying distribution is Pareto against the alternative of lognormality. The Chi-square and Kolmogorov tests are adapted to test the hypothesi s of lognormality with unspecified alternative. The application of these techni ques to the analysis of insurance claim data is discussed. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 6 van 8 gevonden artikelen
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