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|Title:||R-Estimator of location of the generalized secant hyperbolic distribution|
|Citation:||Communications in Statistics: Simulation and Computation, 2006; 35(1):1-18|
|Publisher:||Marcel Dekker Inc|
|O. Y. Kravchuk|
|Abstract:||The generalized secant hyperbolic distribution (GSHD) proposed in Vaughan (2002) includes a wide range of unimodal symmetric distributions, with the Cauchy and uniform distributions being the limiting cases, and the logistic and hyperbolic secant distributions being special cases. The current article derives an asymptotically efficient rank estimator of the location parameter of the GSHD and suggests the corresponding one- and two-sample optimal rank tests. The rank estimator derived is compared to the modified MLE of location proposed in Vaughan (2002). By combining these two estimators, a computationally attractive method for constructing an exact confidence interval of the location parameter is developed. The statistical procedures introduced in the current article are illustrated by examples.|
Hyperbolic secant distribution
|Rights:||Copyright © Taylor & Francis Group, LLC|
|Appears in Collections:||Agriculture, Food and Wine publications|
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