Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Asimit, Vali Alexandru
and
Badescu, Alex
2011.
Optimal Risk Transfer with Multiple Reinsurers.
SSRN Electronic Journal,
Székely, Gábor J.
and
Rizzo, Maria L.
2013.
Energy statistics: A class of statistics based on distances.
Journal of Statistical Planning and Inference,
Vol. 143,
Issue. 8,
p.
1249.
Asimit, Alexandru V.
Badescu, Alexandru M.
and
Verdonck, Tim
2013.
Optimal risk transfer under quantile-based risk measurers.
Insurance: Mathematics and Economics,
Vol. 53,
Issue. 1,
p.
252.
Motella, Beatrice
and
Presti, Letizia Lo
2014.
Methods of goodness of fit for GNSS interference detection.
IEEE Transactions on Aerospace and Electronic Systems,
Vol. 50,
Issue. 3,
p.
1690.
Obradović, Marko
Jovanović, Milan
and
Milošević, Bojana
2015.
Goodness-of-fit tests for Pareto distribution based on a characterization and their asymptotics.
Statistics,
Vol. 49,
Issue. 5,
p.
1026.
Gómez-Déniz, Emilio
and
Calderín-Ojeda, Enrique
2015.
MODELLING INSURANCE DATA WITH THE PARETO ARCTAN DISTRIBUTION.
ASTIN Bulletin,
Vol. 45,
Issue. 3,
p.
639.
Arnold, Barry C.
2015.
Wiley StatsRef: Statistics Reference Online.
p.
1.
Nooghabi, M. Jabbari
and
Nooghabi, E. Khaleghpanah
2016.
On entropy of a Pareto distribution in the presence of outliers.
Communications in Statistics - Theory and Methods,
Vol. 45,
Issue. 17,
p.
5234.
Borio, Daniele
Dovis, Fabio
Kuusniemi, Heidi
and
Lo Presti, Letizia
2016.
Impact and Detection of GNSS Jammers on Consumer Grade Satellite Navigation Receivers.
Proceedings of the IEEE,
Vol. 104,
Issue. 6,
p.
1233.
Rizzo, Maria L.
and
Székely, Gábor J.
2016.
Energy distance.
WIREs Computational Statistics,
Vol. 8,
Issue. 1,
p.
27.
Poghosyan, Arnak V.
Harutyunyan, Ashot N.
and
Grigoryan, Naira M.
2016.
Managing Cloud Infrastructures by a Multi-layer Data Analytics.
p.
351.
Calderín-Ojeda, Enrique
and
Kwok, Chun Fung
2016.
Modeling claims data with composite Stoppa models.
Scandinavian Actuarial Journal,
Vol. 2016,
Issue. 9,
p.
817.
Volkova, Ksenia
2016.
Goodness-of-fit tests for the Pareto distribution based on its characterization.
Statistical Methods & Applications,
Vol. 25,
Issue. 3,
p.
351.
Székely, Gábor J.
and
Rizzo, Maria L.
2017.
The Energy of Data.
Annual Review of Statistics and Its Application,
Vol. 4,
Issue. 1,
p.
447.
Han, Ah-Rim
and
Cha, Sungdeok
2018.
Two-Phase Assessment Approach to Improve the Efficiency of Refactoring Identification.
IEEE Transactions on Software Engineering,
Vol. 44,
Issue. 10,
p.
1001.
Bhatti, Sajjad Haider
Hussain, Shahzad
Ahmad, Tanvir
Aslam, Muhammad
Aftab, Muhammad
Raza, Muhammad Ali
and
Deng, Yong
2018.
Efficient estimation of Pareto model: Some modified percentile estimators.
PLOS ONE,
Vol. 13,
Issue. 5,
p.
e0196456.
Jabbari Nooghabi, Mehdi
2019.
On detecting outliers in the Pareto distribution.
Journal of Statistical Computation and Simulation,
Vol. 89,
Issue. 8,
p.
1466.
Chu, J.
Dickin, O.
and
Nadarajah, S.
2019.
A review of goodness of fit tests for Pareto distributions.
Journal of Computational and Applied Mathematics,
Vol. 361,
Issue. ,
p.
13.
Esmailian, M.
and
Doostparast, M.
2019.
Estimates Based on Sequential Order Statistics with the Two-Parameter Pareto Distribution.
Bulletin of the Malaysian Mathematical Sciences Society,
Vol. 42,
Issue. 5,
p.
2897.
Opperman, Logan
and
Ning, Wei
2020.
Goodness-of-fit test for skew normality based on energy statistics .
Random Operators and Stochastic Equations,
Vol. 28,
Issue. 3,
p.
227.