On Kernel Hazard Rate Function Estimate for Associated and Left Truncated Data
Let {XN , N ≥ 1} be a sequence of strictly stationary associated random variables of interest, and {TN , N ≥ 1} be a sequence of random truncating variables assumed to be independent from {XN , N ≥ 1}. In this paper, we establish the strong uniform consistency with a rate of a kernel hazard rate fu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto Nacional de Estatística | Statistics Portugal
2020-08-01
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| Series: | Revstat Statistical Journal |
| Subjects: | |
| Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/305 |