On the power of goodness-of-fit tests for the exponential distribution under progressive Type-II censoring

DOI10.1080/00949655.2019.1648468OpenAlexW2966002840WikidataQ115551867 ScholiaQ115551867MaRDI QIDQ5107504

Erhard Cramer, M. Döring

Publication date: 27 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2019.1648468

zbMATH Keywords

exponential distributionprogressive type-II censoringgoodness-of-fit testpower study

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Testing in survival analysis and censored data (62N03)

Related Items (8)

Simultaneous confidence intervals for the quantile differences of several two-parameter exponential distributions under the progressive type II censoring scheme ⋮ Estimation and prediction for the Rayleigh distribution based on double Type-I hybrid censored data ⋮ Goodness-of-fit testing based on Gini Index of spacings for progressively Type-II censored data ⋮ Generalized Ng–Kundu–Chan model of adaptive progressive Type‐II censoring and related inference ⋮ Confidence bands for exponential distribution functions under progressive type-II censoring ⋮ New classes of tests for the Weibull distribution using Stein's method in the presence of random right censoring ⋮ On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring ⋮ Inference on Nadarajah–Haghighi distribution with constant stress partially accelerated life tests under progressive type-II censoring

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