Estimating the Deviation from Exponentiality Under Random Censorship

DOI10.1081/STA-120024471zbMath1131.62322OpenAlexW2049293914MaRDI QIDQ4428263

Jean-Yves Dauxois

Publication date: 14 September 2003

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

Full work available at URL: https://doi.org/10.1081/sta-120024471

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Cites Work

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• Testing exponentiality against IDMRL distributions with unknown change point
• Testing exponentiality against increasing failure rate with randomly censored data
• Tests for Increasing Failure Rate Average with Randomly Right Censored Data
• Nonparametric Estimation from Incomplete Observations
• Tests for Monotone Mean Residual Life, Using Randomly Censored Data
• A class of tests for testing an increasing failure-rate-average distribution with randomly right-censored data
• The first-passage density of a continuous gaussian process to a general boundary
• A note on an estimator of life expectancy with random censorship
• Testing an increasing failure rate average distribution with censored data
• Testing to Determine the Underlying Distribution Using Randomly Censored Data

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