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:: Volume 19, Issue 2 (4-2025) ::
JSS 2025, 19(2): 0-0 Back to browse issues page
A Nonparametric Test for Stochastic Ordering in Type I Censored ‎Data‎
Ebrahim Amini-Seresht *
Abstract:   (124 Views)

In this paper, a nonparametric test based on incomplete data is proposed to investigate the usual stochastic order  using an extension of Banerjee statistic for Type I censored data. This extension is optimized with weight coefficients based on Simpson's rule and the bootstrap method with 10000 iterations to estimate the empirical distribution of the proposed test statistic. The empirical distribution of the statistic under censoring is studied, and the power of the test is evaluated using Monte Carlo simulations against the Lehmann alternative model.

Keywords: Stochastic ordering, Nonparametric tests, Monte Carlo simulation, Type I censoringensoring.
Full-Text [PDF 262 kb]   (106 Downloads)    
Type of Study: Research | Subject: Probabilty and Applications
Received: 2025/08/6 | Accepted: 2025/04/30 | Published: 2025/11/26
References
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7. Kochar, S. C. (1981), A ‎N‎ew ‎D‎istribution-free ‎T‎est for the ‎E‎quality of ‎t‎‎wo ‎F‎ailure ‎R‎ates, Biometrika, 68 (2), 423‎-‎426‎.‎‎ [DOI:10.2307/2335588]
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Amini-Seresht E. A Nonparametric Test for Stochastic Ordering in Type I Censored ‎Data‎. JSS 2025; 19 (2)
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 19, Issue 2 (4-2025) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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