A note on determining the number of outliers in an exponential sample by least squares procedure

DOI10.1007/S003620100075zbMath1008.62032OpenAlexW1991335313MaRDI QIDQ5956476

No author found.

Publication date: 18 March 2003

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

Full work available at URL: https://doi.org/10.1007/s003620100075

zbMATH Keywords

order statisticsexponential distributionmean squared errorPareto distributionleast squares procedureupper outliers

Mathematics Subject Classification ID

Parametric inference (62F99) Order statistics; empirical distribution functions (62G30) Statistical tables (62Q05)

Related Items (3)

Testing of Suspected Observations in an Exponential Sample With Unknown Origin ⋮ SEMIPARAMETRIC ESTIMATION OF STRESS STRENGTH RELIABILITY P[X > Y OF LOMAX DISTRIBUTION] ⋮ A procedure for testing suspected observations

Cites Work

• On determining the number of outliers in exponential and Pareto samples
• Detection of outliers in the exponential distribution based on prediction
• The Null Distribution of a Test for Two Upper Outliers in an Exponential Sample
• Improved Estimation of Expected Life When One Identified Spurious Observation may be Present
• Tests for multiple upper or lower outliers in an exponential sample
• Estimating P[X>Y from exponential samples containing spurious observations]
• Distributions of test statistics for multiple outliers in exponential samples
• On Some Tests of Hypotheses Relating to the Exponential Distribution when Some Outliers are Present
• Efficient Estimation of the Mean of an Exponential Distribution When an Outlier Is Present
• Life testing and reliability estimation for non-homogeneous data - a bayesian approach
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A note on determining the number of outliers in an exponential sample by least squares procedure