August 7, 2024Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü DergisiOpen Access

A New Goodness of Fit Test for Complete or Type II Right Censored Samples

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Authors

AKAnıl Koyuncu MKMehmet KarahasanMuğla University

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Implication

Simulation analysis demonstrates effective goodness-of-fit evaluation for complete or right-censored data, suggesting enhanced statistical testing power.

Key Points

A new goodness of fit test based on the empirical distribution function performs well across complete or type II right censored samples.
Power evaluations show competitive performance relative to standard Kolmogorov-Smirnov and Anderson-Darling tests across censoring rates.
Simulation studies evaluated test power across diverse sample sizes and censoring proportions against exponential distribution baselines.
Highlights an effective testing framework for survival and reliability analysis, supporting practical log normal distribution modeling.

Cite This Study

Koyuncu et al. (2024) studied this question.

synapsesocial.com/papers/68e5d24cb6db6435875689ce https://doi.org/10.19113/sdufenbed.1479284

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Implication

Simulation analysis demonstrates effective goodness-of-fit evaluation for complete or right-censored data, suggesting enhanced statistical testing power.

A New Goodness of Fit Test for Complete or Type II Right Censored Samples

Discussion

Member takes

Implication

Key Points

Cite This Study

A New Goodness of Fit Test for Complete or Type II Right Censored Samples

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider