output
20062017
most citedUnfolding the procedure of characterizing recorded ultra low frequency, kHZ and MHz electromagnetic anomalies prior to the L'Aquila earthquake as pre-seismic ones. Part II

70 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2015Show all

5 papers · 1 filter

stat.ME2015

Exploring the Distribution for the Estimator of Rosenthal's 'Fail-Safe' Number of Unpublished Studies in Meta-analysis

Konstantinos C. Fragkos, Michail Tsagris, Christos C. Frangos

The present paper discusses the statistical distribution for the estimator of Rosenthal's 'Fail-Safe' number NR, which is an estimator of unpublished studies in meta-analysis. We c…

stat.ME2015★ 4 cited

The Assessment of Performance of Correlation Estimates in Discrete Bivariate Distributions Using Bootstrap Methodology

Michael Tsagris, Ioannis Elmatzoglou, Christos C. Frangos

Little attention has been given to the correlation coefficient when data come from discrete or continuous non-normal populations. In this article, we consider the efficiency of two…

cs.DS2015

Design and Management of Vehicle Sharing Systems: A Survey of Algorithmic Approaches

Damianos Gavalas, Charalampos Konstantopoulos, Grammati Pantziou

Vehicle (bike or car) sharing represents an emerging transportation scheme which may comprise an important link in the green mobility chain of smart city environments. This chapter…

stat.ME2015★ 3 cited

Publication Bias in Meta-Analysis: Confidence Intervals for Rosenthal's Fail-Safe Number

Konstantinos C. Fragkos, Michail Tsagris, Christos C. Frangos

The purpose of the present paper is to assess the efficacy of confidence intervals for Rosenthal's fail-safe number. Although Rosenthal's estimator is highly used by researchers, i…

cs.GT2015

Pareto Optimal Matchings in Many-to-Many Markets with Ties

Katarína Cechlárová, Pavlos Eirinakis, Tamás Fleiner +5

We consider Pareto-optimal matchings (POMs) in a many-to-many market of applicants and courses where applicants have preferences, which may include ties, over individual courses an…