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stat.ME2026
Nonparametric Estimation via Expected Order Statistics
Tommaso Lando, Lorenzo Tedesco
The empirical distribution function assigns mass to each of the observations in a sample. As these are highly variable, estimation error may be reduced by replacing them…
stat.ME2022
Nonparametric inference about increasing odds rate distributions
Tommaso Lando, Idir Arab, Paulo Eduardo Oliveira
To improve nonparametric estimates of lifetime distributions, we propose using the increasing odds rate (IOR) model as an alternative to other popular, but more restrictive, ``adve…
stat.ME2020
Second-order stochastic comparisons of order statistics
Tommaso Lando, Idir Arab, Paulo Eduardo Oliveira
We study the problem of comparing ageing patterns of the lifetime of k-out-of-n systems. Mathematically, this reduces to being able to decide about a stochastic ordering relationsh…