On determining the number of outliers in exponential and Pareto samples

DOI10.1007/BF02929704zbMath0902.62035OpenAlexW2026273912MaRDI QIDQ1393061

E. S. Jeevanand, Unnikrishnan N. Nair

Publication date: 2 August 1998

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02929704

zbMATH Keywords

outliersexponential distributionPareto distributionpredictive density

Mathematics Subject Classification ID

Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (4)

On detecting outliers in the Pareto distribution ⋮ A procedure for testing suspected observations ⋮ A note on determining the number of outliers in a normal sample with unequal variances by least squares procedure ⋮ A note on determining the number of outliers in an exponential sample by least squares procedure

Cites Work

• The Identification of Multiple Outliers
• Detection of outliers in the exponential distribution based on prediction
• Properties of the Mixed Exponential Failure Process
• Estimating P[X>Y from exponential samples containing spurious observations]
• Efficient Estimation of the Mean of an Exponential Distribution When an Outlier Is Present
• Care and Handling of Univariate or Multivariate Outliners in Detecting Spuriosity: A Bayesian Approach
• Life testing and reliability estimation for non-homogeneous data - a bayesian approach
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