A procedure for outlier identification in data sets from continuous distributions

DOI10.1007/BF02603008zbMath1110.62067OpenAlexW2048757095MaRDI QIDQ882930

Adolfo J. Quiroz, Narayanaswamy Balakrishnan

Publication date: 25 May 2007

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02603008

zbMATH Keywords

outlier identificationcontinuous distributionsSt. Petersburg paradox

Mathematics Subject Classification ID

Multivariate analysis (62H99) Asymptotic distribution theory in statistics (62E20) Nonparametric robustness (62G35) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (1)

IPO estimation of heaviness of the distribution beyond regularly varying tails

Uses Software

• R
• mvBACON

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A probabilistic approach to domains of partial attraction
• BACON: blocked adaptive computationally efficient outlier nominators.
• The Identification of Multiple Outliers
• A limit theorem which clarifies the ‘Petersburg Paradox'
• Maximum Likelihood Estimation of Laplace Parameters Based on Type-II Censored Samples
• Robust Statistics

This page was built for publication: A procedure for outlier identification in data sets from continuous distributions