3 papers
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.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…
math.ST2019
Distorted stochastic dominance: a generalized family of stochastic orders
Tommaso Lando, Lucio Bertoli-Barsotti
We study a generalized family of stochastic orders, semiparametrized by a distortion function H, namely H-distorted stochastic dominance, which may determine a continuum of dominan…