Higher-Order Expansions of Sample Range from the Skew-t-Normal Distribution ()
ABSTRACT
For an independent and identically distributed skew-t-normal random sequence, this paper establishes the limit distribution of normalized sample range
. Based on the optimal normalized constants, the higher-order asymptotic expansion of the distribution function of sample range
is further derived, and its convergence rate is given. In addition, the approximate accuracy between the empirical value and the asymptotic theoretical value is systematically compared by numerical simulation.
Share and Cite:
Yang, W. (2025) Higher-Order Expansions of Sample Range from the Skew-t-Normal Distribution.
Journal of Applied Mathematics and Physics,
13, 3975-3988. doi:
10.4236/jamp.2025.1311222.
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