3 papers
stat.ME2025
Censored lifespans in a double-truncated sample: Maximum likelihood inference for the exponential distribution
Fiete Sieg, Anne-Marie Toparkus, Rafael Weissbach
The analysis of a truncated sample can be hindered by censoring. Survival information may be lost to follow-up or the birthdate may be missing. The data can still be modeled as a t…
stat.ME2024
Left-truncated discrete lifespans: The AFiD enterprise panel
Eric Scholz, Rafael WeiÃbach
Our model for the lifespan of an enterprise is the geometric distribution. We do not formulate a model for enterprise foundation, but assume that foundations and lifespans are inde…
stat.ME2024
Testing Truncation Dependence: The Gumbel-Barnett Copula
Anne-Marie Toparkus, Rafael WeiÃbach
In studies on lifetimes, occasionally, the population contains statistical units that are born before the data collection has started. Left-truncated are units that deceased before…