A CHARACTERIZATION OF GENERALIZED PARETO DISTRIBUTIONS BY PROGRESSIVE CENSORING SCHEMES AND GOODNESS-OF-FIT TESTS

DOI10.1081/STA-120004902zbMath1075.62514OpenAlexW2027447028MaRDI QIDQ4449044

Frank Marohn

Publication date: 4 February 2004

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-120004902

zbMATH Keywords

goodness-of-fitgeneralized Pareto distributionprogressively type-II censored order statistics

Mathematics Subject Classification ID

Censored data models (62N01) Stationary stochastic processes (60G10) Characterization and structure theory of statistical distributions (62E10)

Related Items (6)

Progressive censoring methodology: an appraisal (with comments and rejoinder) ⋮ On the power of goodness-of-fit tests for the exponential distribution under progressive Type-II censoring ⋮ Goodness-of-fit tests for a heavy tailed distribution ⋮ Review of testing issues in extremes: in honor of Professor Laurens de Haan ⋮ Assessing the lifetime performance index of products from progressively type II right censored data using Burr XII model ⋮ Exponentiality Test Based on the Progressive Type II Censoring via Cumulative Entropy

Cites Work

• Approximate distributions of order statistics. With applications to nonparametric statistics
• Time series: theory and methods.
• A concept of generalized order statistics
• Maximum Likelihood Estimation for the Three Parameter Weibull Distribution Based on Censored Samples
• Goodness of fit for the extreme value distribution
• An Approximation to the Wilcoxon-Mann-Whitney Distribution
• Linear Order Statistic Estimation for the Two-Parameter Weibull and Extreme-Value Distributions from Type II Progressively Censored Samples
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