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Conditionally stochastic domination of generalized order statistics from two samples

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Abstract

In this note, we investigate less restrictive conditions on the model parameters which enable one to establish the likelihood ratio and the usual stochastic orderings of conditional generalized order statistics from two samples. The main results strengthen and generalize the corresponding results established recently in the literature.

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Authors and Affiliations

  1. School of Mathematics and Statistics, Lanzhou University, 730000, Lanzhou, People’s Republic of China

    Yashi Wang

  2. Department of Statistics and Finance, University of Science and Technology of China, Hefei, 230026, Anhui, People’s Republic of China

    Weiwei Zhuang & Taizhong Hu

Authors
  1. Yashi Wang
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  2. Weiwei Zhuang
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  3. Taizhong Hu
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Corresponding author

Correspondence to Taizhong Hu.

Additional information

Supported by the National Natural Science Foundations of China (No. 70821001, 10771204).

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Wang, Y., Zhuang, W. & Hu, T. Conditionally stochastic domination of generalized order statistics from two samples. Stat Papers 51, 369–373 (2010). https://doi.org/10.1007/s00362-008-0194-4

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  • DOI: https://doi.org/10.1007/s00362-008-0194-4

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