Research article Special Issues

Generalized conditional spacings and their stochastic properties

  • Received: 12 June 2024 Revised: 24 July 2024 Accepted: 31 July 2024 Published: 12 August 2024
  • MSC : 60E15, 62G30

  • This paper introduces the concept of generalized conditional spacings and establishes partial order relations between different generalized spacings. First, we derive the survival function of the generalized conditional spacings. Second, we construct the stochastic and hazard rate order relationships between different generalized conditional spacings and generalized normal conditional spacings, considering parent distributions that belong to the decreasing failure rate (DFR) and increasing likelihood rate (ILR) classes. Finally, for parent distributions within the DFR class, we obtain the dispersive order between different conditional spacings, along with an inequality for the variance. Additionally, we present illustrative examples involving Pareto and Gamma distributions.

    Citation: Tie Li, Zhengcheng Zhang. Generalized conditional spacings and their stochastic properties[J]. AIMS Mathematics, 2024, 9(9): 23909-23923. doi: 10.3934/math.20241162

    Related Papers:

  • This paper introduces the concept of generalized conditional spacings and establishes partial order relations between different generalized spacings. First, we derive the survival function of the generalized conditional spacings. Second, we construct the stochastic and hazard rate order relationships between different generalized conditional spacings and generalized normal conditional spacings, considering parent distributions that belong to the decreasing failure rate (DFR) and increasing likelihood rate (ILR) classes. Finally, for parent distributions within the DFR class, we obtain the dispersive order between different conditional spacings, along with an inequality for the variance. Additionally, we present illustrative examples involving Pareto and Gamma distributions.



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