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On the sample ranges from heterogeneous exponential variables

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  • Xu, Maochao
  • Balakrishnan, N.

Abstract

In this paper, the sample range from a heterogeneous exponential sample is shown to be larger than that from a homogeneous exponential sample in the sense of the star ordering. Then, by using this result, some equivalent characterizations of stochastic comparisons of sample ranges with respect to various stochastic orders are established. In this process, two open problems mentioned in Mao and Hu (2010) [16] are solved. The main results established here extend and strengthen several known results in the literature including those of Khaledi and Kochar (2000) [8], Zhao and Li (2009) [22] and Genest et al. (2009) [7].

Suggested Citation

  • Xu, Maochao & Balakrishnan, N., 2012. "On the sample ranges from heterogeneous exponential variables," Journal of Multivariate Analysis, Elsevier, vol. 109(C), pages 1-9.
    • Handle: RePEc:eee:jmvana:v:109:y:2012:i:c:p:1-9
    DOI: 10.1016/j.jmva.2012.02.009
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    References listed on IDEAS

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    1. Genest, Christian & Kochar, Subhash C. & Xu, Maochao, 2009. "On the range of heterogeneous samples," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1587-1592, September.
    2. Kochar, Subhash C & Korwar, Ramesh, 1996. "Stochastic Orders for Spacings of Heterogeneous Exponential Random Variables," Journal of Multivariate Analysis, Elsevier, vol. 57(1), pages 69-83, April.
    3. Kochar, Subhash & Rojo, Javier, 1996. "Some New Results on Stochastic Comparisons of Spacings from Heterogeneous Exponential Distributions," Journal of Multivariate Analysis, Elsevier, vol. 59(2), pages 272-281, November.
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    Cited by:

    1. Da, Gaofeng & Xu, Maochao & Balakrishnan, N., 2014. "On the Lorenz ordering of order statistics from exponential populations and some applications," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 88-97.
    2. Ding, Weiyong & Da, Gaofeng & Zhao, Peng, 2013. "On sample ranges from two sets of heterogenous random variables," Journal of Multivariate Analysis, Elsevier, vol. 116(C), pages 63-73.
    3. Mahdi Alimohammadi & Mohammad Hossein Alamatsaz & Erhard Cramer, 2016. "Convolutions and generalization of logconcavity: Implications and applications," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(2), pages 109-123, March.

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