Fast information transfer in neuronal systems rests on series of action potentials, the spike
trains, conducted along axons. Methods that compare spike trains are crucial for …

This article studies twelve different normality tests that are used for assessing the
assumption that a sample was drawn from a normally distributed population and compares …

In this paper, we introduce a new estimator of entropy of a continuous random variable. We
compare the proposed estimator with the existing estimators, namely, Vasicek [A test for …

This article studies seven different tests of normality. The tests in question are Kolmogorov–
Smirnov, Anderson–Darling, Kuiper, Jarque–Bera, Cramer von Mises, Shapiro–Wilk, and …

The first aim of the paper is to put into practice the α, β-corrected Lilliefors goodness-of-fit
test for normality (LF). This modification consists in varying a formula of calculating the …

In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical
and empirical distributions is proposed. Critical values are obtained via Monte Carlo for …

An Extensive Comparisons of 50 Univariate Goodness-of-fit Tests for Normality Page 1 AJS
Austrian Journal of Statistics July 2022, Volume 51, 45–97. http://www.ajs.or.at/ doi:10.17713/ajs.v51i3.1279 …

In this paper, we first introduce two new estimators for estimating the entropy of absolutely
continuous random variables. We then compare the introduced estimators with the existing …

In this paper we propose an estimator of the entropy of a continuous random variable. The
estimator is obtained by modifying the estimator proposed by Vasicek (1976). Consistency of …

Uniform-in-bandwidth consistency for kernel-type estimators of Shannon's entropy Page 1
Electronic Journal of Statistics Vol. 5 (2011) 440–459 ISSN: 1935-7524 DOI: 10.1214/11-EJS614 …