Collectively, these studies underscore the global significance of interval-valued data analysis in addressing modern challenges of uncertainty and complexity in big data.

Gentleman & Geyer (1994) discuss the analysis of interval censored data and present results based on standard convex optimisation theory. Here, this problem is viewed from the perspective of a mixing ...

We consider the problem of interval estimation of probabilities for randomly truncated data. The best-known method is based on the normal approximation of the product-limit estimator and has a ...