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On estimation of the cumulative hazard function (2005).
| Content Provider | CiteSeerX |
|---|---|
| Author | Garcia, Consuelo Smith, Dorian Summitt, Chris Watson, Angela |
| Abstract | This paper investigates a new method of estimating the cumulative hazard function. The following distributions are examined: Exponential, Weibull, Gamma, Log-logistic, Normal, Exponential power, Pareto, Gen-eralized gamma, and Beta. First, attention is devoted to the ratio of cumulative hazard functions from the same distribution, and then ratios between different distributions are considered. The problem of estimat-ing F, an unknown CDF, was considered by Rojo and Samaniego (1993). An approach is taken to find an estimator that modifies the empirical survival function to satisfy the constraint that the cumulative hazard ra-tio is nondecreasing. This estimator is useful for estimating an unknown distribution F from a known distribution G. 1 |
| File Format | |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Subject Keyword | Cumulative Hazard Function New Method Unknown Distribution Different Distribution Empirical Survival Function Cumulative Hazard Ra-tio Exponential Power Unknown Cdf Following Distribution Gen-eralized Gamma |
| Content Type | Text |
| Resource Type | Article |
