26 citations · 305 across the 66 of their papers we have counts for
10 papers · 1 filter
A study of seven asymmetric kernels for the estimation of cumulative distribution functions
Pierre Lafaye de Micheaux, Frédéric Ouimet
In Mombeni et al. (2019), Birnbaum-Saunders and Weibull kernel estimators were introduced for the estimation of cumulative distribution functions (c.d.f.s) supported on the half-li…
An improvement of Tusnády's inequality in the bulk
Frédéric Ouimet
We prove a non-asymptotic generalization of the refined continuity correction developed in Cressie (1978) for the Binomial distribution, which we then use to improve the versions o…
On the Le Cam distance between Poisson and Gaussian experiments and the asymptotic properties of Szasz estimators
Frédéric Ouimet
In this paper, we prove a local limit theorem for the ratio of the Poisson distribution to the Gaussian distribution with the same mean and variance, using only elementary methods…
A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution
Alain Desgagné, Pierre Lafaye de Micheaux, Frédéric Ouimet
In this paper we present the results from an empirical power comparison of 40 goodness-of-fit tests for the univariate Laplace distribution, carried out using Monte Carlo simulatio…
On the boundary properties of Bernstein estimators on the simplex
Frédéric Ouimet
In this paper, we study the asymptotic properties (bias, variance, mean squared error) of Bernstein estimators for cumulative distribution functions and density functions near and…
Explicit formulas for the joint third and fourth central moments of the multinomial distribution
Frédéric Ouimet
We give the first explicit formulas for the joint third and fourth central moments of the multinomial distribution, by differentiating the moment generating function. A general for…