|
|
 |
| |
|
|
|
Concavity of the Distribution Function Using Interval Censored Data with Covariates |
|
|
|
PP: 1-6 |
|
|
|
doi:10.18576/amisl/050101
|
|
|
|
Author(s) |
|
|
|
Bader Aljawadi,
|
|
|
|
Abstract |
|
|
| In many real applications in survival analysis, estimation of the distribution function and hence the survival function is common in practice, where the problem of estimating a smooth shape-constrained distribution function has recently received some attention. In this article an interesting proposition is built on the assumption that the distribution function of the random variable (failure time) is a concave function. Where the concavity of the distribution function is discussed in the presence of covariates considering interval censoring model. It is shown that concavity of the distribution function is well defined under the proposed situation. |
|
|
|
|
|
|
|
