THE GENERALIZED SECANT HYPERBOLIC DISTRIBUTION AND ITS PROPERTIES

By D. Vaughan. 2002

120 citations recorded by the source corpus.

Subfields: Applied Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6f9b9a8bf0bb2412b84ce8593c257e60c74f2598

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Fatma Gül Akgül
2. Birdal Senoglu
3. Matthias Fischer

In Statistics and Probability

1. Fatma Gül Akgül
2. Birdal Senoglu
3. K. Herrmann
4. Matthias Fischer

Citations in the corpus

• Estimation of P(X < Y) using ranked set sampling for the Weibull distribution (2017, methodology): “However, iterative methods can be problematic because of the following reasons: (i) convergence to wrong roots, (ii) convergence to multiple roots, and (iii) non-convergence of iterations, see, for example, Smith (1985); Puthenpura and Sinha (1986) and Vaughan (2002).”
• Volatility models with innovations from new maximum entropy densities at work (2010, background): “Similarly, the less-known but rather flexible generalized secant hyperbolic (GSH) distribution of Vaughan (2002) and its skew generalization of Fischer (2004) is taken into consideration.”
• Multiple Linear Regression Model Under Nonnormality (2005, unknown): “( 1985 ), Vaughan ( 1992 2002 ) and Senoglu and Tiku ( 2001 2002 ).”