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All issues Volume 56 / No 2 (March-April 2022) RAIRO-Oper. Res., 56 2 (2022) 955-957 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 56, Number 2, March-April 2022
Page(s) 955 - 957
DOI https://doi.org/10.1051/ro/2022014
Published online 14 April 2022
  • A.I. Al-Omari, The efficiency of L ranked set sampling in estimating the distribution function. Afrika Matematika 26 (2015) 1457–1466. [CrossRef] [MathSciNet] [Google Scholar]
  • A.I. Al-Omari, Quartile ranked set sampling for estimating the distribution function. J. Egypt. Math. Soc. 24 (2016) 303–308. [CrossRef] [Google Scholar]
  • A.I. Al-Omari, Maximum likelihood estimation in location-scale families using varied L ranked set sampling. RAIRO-Oper. Res. 55 (2021) S2759–S2771. [CrossRef] [EDP Sciences] [Google Scholar]
  • A.I. Al-Omari and M.S. Abdallah, Estimation of the distribution function using moving extreme and MiniMax ranked set sampling. To appear in: Commun. Stat. Simul. Comput. (2021) 1–21. DOI: 10.1080/03610918.2021.1891433 [CrossRef] [Google Scholar]
  • M.F. Al-Saleh and D.M. Ahmad, Estimation of the distribution function using moving extreme ranked set sampling (MERSS). In: Ranked Set Sampling: 65 years Improving the Accuracy in Data Gathering. Academic Press (2019), 43–58. [Google Scholar]
  • S. Ashour and M. Abdallah, New distribution function estimators and tests of perfect ranking in concomitant-based ranked set sampling. To appear in: Commun. Stat. Simul. Comput. (2019) 1–26. DOI: 10.1080/03610918.2019.1659360. [Google Scholar]
  • S. Ashour and M. Abdallah, Parametric estimation based on ranked set sampling: missing data approach. J. Sci. Gazi Univ. 32 (2019) 1356–1368. [CrossRef] [Google Scholar]
  • S. Ashour and M. Abdallah, Estimation of distribution function based on ranked set sampling: missing data approach. Thailand Stat. 18 (2020) 27–42. [Google Scholar]
  • Z. Chen, Z. Bai and B.K. Sinha, Ranked Set Sampling: Theory and Applications. Springer, New York (2004). [CrossRef] [Google Scholar]
  • W. Chen, C. Long, R. Yang and D. Yao, Maximum likelihood estimator of the location parameter under moving extremes ranked set sampling design. Acta Math. App. Sin. Ser. 37 (2021) 101–108. [CrossRef] [Google Scholar]
  • T.R. Dell and J.L. Clutter, Ranked set sampling theory with order statistics background. Biometrics 28 (1972) 545–555. [Google Scholar]
  • A. Eftekharian and M. Razmkhah, On estimating the distribution function and odds using ranked set sampling. Stat. Probab. Lett. 122 (2017) 1–10. [CrossRef] [Google Scholar]
  • J. Frey and L. Wang, EDF-based goodness-of-fit tests for ranked set sampling. Can. J. Stat. 42 (2014) 451–469. [CrossRef] [Google Scholar]
  • J. Frey and Y. Zhang, Improved exact confidence intervals for a proportion using ranked-set sampling. J. Korean Stat. Soc. 48 (2019) 493–501. [CrossRef] [Google Scholar]
  • J. Frey and Y. Zhang, Robust confidence intervals for a proportion using rankedset sampling. J. Korean Stat. Soc. 50 (2021) 1009–1028. [CrossRef] [Google Scholar]
  • N. Gemayel, E. Stasny, J. Tackett and D. Wolfe, Ranked set sampling: an auditing application. Rev. Quant. Finance Acc. 39 (2012) 413–422. [CrossRef] [Google Scholar]
  • A. Göçoğlu and N. Demirel, Estimating the population proportion in modified ranked set sampling methods. J. Stat. Comput. Simul. 89 (2019) 2694–2710. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Haq, J. Brown, E. Moltchanova and A.I. Al-Omari, Varied L ranked set sampling scheme. J. Stat. Theory Pract. 9 (2015) 741–767. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Hassan, A. Al-Omar and H. Nagy, Stress-strength reliability for the generalized inverted exponential distribution using MRSS. Iran J. Sci. Technol. Trans. Sci. 45 (2021) 641–659. [CrossRef] [MathSciNet] [Google Scholar]
  • P.H. Kvam, Ranked set sampling based on binary water quality data with covariates. J. Agric. Biol. Environ. Stat. 8 (2003) 271–279. [CrossRef] [Google Scholar]
  • P. Kvam and F. Samaniego, Nonparametric maximum likelihood estimation based on ranked set samples. J. Am. Stat. Assoc. 89 (1994) 526–537. [CrossRef] [Google Scholar]
  • M. Mahdizadeh and E. Zamanzade, Kernel-based estimation of P(x > y) in ranked set sampling. SORT 40 (2016) 243–266. [MathSciNet] [Google Scholar]
  • M. Mahdizadeh and E. Zamanzade, Efficient body fat estimation using multistage pair ranked set sampling. Stat. Methods Med. Res. 28 (2019) 223–234. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  • G.A. McIntyre, A method for unbiased selective sampling using ranked set sampling. Aust. J. Agric. Res. 3 (1952) 385–390. [CrossRef] [Google Scholar]
  • H. Morabbi and M. Razmkhah, Quantile estimation based on modified ranked set sampling schemes using Pitman closeness. To appear: Commun. Stat. Simul. Comput. (2020) DOI: 10.1080/03610918.2020.1811329. [Google Scholar]
  • O. Ozturk, Nonparametric maximum-likelihood estimation of within-set ranking errors in ranked set sampling. J. Nonparametric Stat. 22 (2010) 823–840. [CrossRef] [MathSciNet] [Google Scholar]
  • O. Ozturk, Parametric estimation of location and scale parameters in ranked set sampling. J. Stat. Planning Inference 141 (2011) 1616–1622. [CrossRef] [Google Scholar]
  • A.M. Polansky and E.R. Baker, Multistage plugin bandwidth selection for kernel distribution function estimates. J. Stat. Comput. Simul. 65 (2000) 63–80. [CrossRef] [Google Scholar]
  • S.L. Stokes and T.W. Sager, Characterization of a ranked-set sample with application to estimating distribution functions. J. Am. Stat. Assoc. 83 (1988) 374–381. [CrossRef] [Google Scholar]
  • E. Zamanzade, EDF-based tests of exponentiality in pair ranked set sampling. Stat. Papers 60 (2019) 2141–2159. [CrossRef] [Google Scholar]
  • E. Zamanzade and M. Mahdizadeh, A more efficient proportion estimator in ranked set sampling. Stat. Probab. Lett. 129 (2017) 28–33. [CrossRef] [Google Scholar]
  • E. Zamanzade and M. Mahdizadeh, Estimating the population proportion in pair ranked set sampling with application to air quality monitoring. J. Appl. Stat. 45 (2018) 426–437. [CrossRef] [MathSciNet] [Google Scholar]
  • E. Zamanzade and M. Mahdizadeh, Using ranked set sampling with extreme ranks in estimating the population proportion. Stat. Methods Med. Res. 29 (2020) 165–177. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  • E. Zamanzade and X. Wang, Estimation of population proportion for judgment post-stratification. Comput. Stat. Data Anal. 112 (2017) 257–269. [CrossRef] [Google Scholar]
  • E. Zamanzade, A. Parvardeh and M. Asadi, Estimation of mean residual life based on ranked set sampling. Comput. Stat. Data Anal. 135 (2019) 35–55. [CrossRef] [Google Scholar]
  • E. Zamanzade, M. Mahdizadeh and H. Samawi, Efficient estimation of cumulative distribution function using moving extreme ranked set sampling with application to reliability. AStA Adv. Stat. Anal. 104 (2020) 485–502. [CrossRef] [MathSciNet] [Google Scholar]

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