Goodness‐of‐fit tests for the weibull dictribution with unknown parameters and censored sampling

DOI10.1080/00949658308810677zbMath0519.62036OpenAlexW1968507238MaRDI QIDQ3668650

Michael Aho, Maxwell Eugene Engelhardt, Lee J. Bain

Publication date: 1983

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949658308810677

zbMATH Keywords

Monte Carlo simulationcritical valuesgoodness-of-fit testscensored samplingtwo-parameter Weibull distributionCramer-von MisesKolmogorov- SmirnovKuiper

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03)

Related Items (4)

Testing the validity of the exponential model for hybrid Type-I censored data ⋮ Goodness-of-fit tests for progressively Type-II censored data from location–scale distributions ⋮ Goodness—of—fit for the two—parameter weibull distribution with estimated parameters ⋮ Gap-ratio goodness of fit tests for weibull or extreme value distribution assumptions with left or right censored data

Cites Work

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• Goodness-of-fit tests for the two parameter Weibull distribution
• Percentage Points of the Asymptotic Distributions of One and Two Sample Kuiper Statistics for Truncated or Censored Data
• A Goodness-of-Fit Test for the Two Parameter vs. Three Parameter Weibull; Confidence Bounds for Threshold
• Percentage Points of the Asymptotic Distributions of One and Two Sample K-S Statistics for Truncated or Censored Data
• Simplified Statistical Procedures for the Weibull or Extreme-Value Distribution
• Goodness of fit for the extreme value distribution
• Distribution Results for Modified Kolmogorov-Smirnov Statistics for Truncated or Censored Samples

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