Van Staden, Paul JacobusKing, Robert A.R.2016-10-122016-01Paul J. van Staden & Robert A. R. King (2016) Kurtosis of the logisticexponential survival distribution, Communications in Statistics - Theory and Methods, 45:23,6891-6899, DOI: 10.1080/03610926.2014.972566.0361-0926 (print)1532-415X (online)10.1080/03610926.2014.972566http://hdl.handle.net/2263/57115In this article, the kurtosis of the logistic-exponential distribution is analyzed. All the moments of this survival distribution are finite, but do not possess closed-form expressions. The standardized fourth central moment, known as Pearson’s coefficient of kurtosis and often used to describe the kurtosis of a distribution, can thus also not be expressed in closed form for the logistic-exponential distribution. Alternative kurtosis measures are therefore considered, specifically quantile-based measures and the L-kurtosis ratio. It is shown that these kurtosis measures of the logistic-exponential distribution are invariant to the values of the distribution’s single shape parameter and hence skewness invariant.en© Taylor and Francis. This is an electronic version of an article published in Communications in Statistics Theory and Methods, vol. 45, no. 23, pp. 6891-6899, 2016. doi : 10.1080/03610926.2014.972566. Communications in Statistics - Theory and Methods is available online at : http://www.tandfonline.comloi/lsta20.L-momentsQuantile functionRatio-of-spread functionsSkewness-invariant measure of kurtosisSpread-spread plotPostprint Article