4 papers
Goodness-of-Fit Tests for Censored and Truncated Data: Maximum Mean Discrepancy Over Regular Functionals
Juan Carlos Escanciano, Jacobo de Uña-Álvarez
We develop a systematic, omnibus approach to goodness-of-fit testing for parametric distributional models when the variable of interest is only partially observed due to censoring…
Smoothing spline density estimation from doubly truncated data
David Bamio, Jacobo de Uña-Álvarez
In Astronomy, Survival Analysis and Epidemiology, among many other fields, doubly truncated data often appear. Double truncation generally induces a sampling bias, so ordinary esti…
Smoothing methods to estimate the hazard rate under double truncation
Carla Moreira, Jacobo de Uña-Álvarez, Ana Cristina Santos +1
In Survival Analysis, the observed lifetimes often correspond to individuals for which the event occurs within a specific calendar time interval. With such interval sampling, the l…
R packages for the statistical analysis of doubly truncated data: a review
Jacobo de Uña-Álvarez
Random double truncation refers a situation in which the variable of interest is observed only when it falls within two random limits. Such phenomenon occurs in many applications o…