While Nadarajah (2005) may have used the term 'generalised Normal' to describe a density that nests this form, there are more suitable names that extend far further back in time, and which accordingly seem much more appropriate. In particular, I believe this should properly be referred to as a **Subbotin distribution** (Subbotin 1923). Other later references include: * Diananda (1949) * Turner (1960) * Zeckhauser and Thompson (1970) * McDonald and Newey (1988) * Mineo and Ruggieri (2005) The functional form given by Subbotin (1923) defines the pdf as: $$f(x) = \frac{\alpha }{2 b \Gamma \left(\frac{1}{\alpha }\right)}\text{exp}\left[-\left|\frac{x}{b}\right|^{\alpha }\right]$$ Subbotin used parameter $b = 1/h$, but the functional form is otherwise identical to that given here. In this form: $$Var(X) = \frac{b^2 \Gamma \left(\frac{3}{\alpha}\right)}{\Gamma \left(\frac{1}{\alpha}\right)}$$ Here is a plot of the pdf with $b=2$, as parameter $\alpha>1$ varies: ![](https://i.sstatic.net/5DqE3.png)[(source)](http://www.tri.org.au/se/Subbotinpdfplot.png) and again for parameter $0<\alpha<1$: ![](https://i.sstatic.net/tHyfS.png)[(source)](http://www.tri.org.au/se/Subbotinplotsmallalpha.png) Other names include: Box-Tiao distribution (McDonald and Newey 1988), and Power-Exponential (McDonald and Newey 1988, Johnson et al. 1995). Finally, it is worth noting that some economic papers inappropriately ascribe the name 'Subbotin distribution' to an Exponential-Power distribution that has a different functional form. **References** * Subbotin, M.T. (1923), On the law of frequency of error, _Matematicheskii Sbornik_, 31, 296-301. * Diananda, P. H. (1949), Note on some properties of maximum likelihood estimates, _Proceedings of the Cambridge Philosophical Society_, 45, 536-544. * Turner, M. E. (1960), On heuristic estimation methods, _Biometrics_, 16(2), 299-301. * Zeckhauser, R. and Thompson, M. (1970), Linear regression with non-normal error terms, _The Review of Economics and Statistics_, 52, 280-286. * McDonald, J. B. and Newey, W. K. (1988), Partially adaptive estimation of regression models via the generalized t distribution, _Econometric Theory_, 4, 428-457. * Mineo, A. M. and Ruggieri, M. (2005), A software tool for the Exponential Power distribution: the normalp package, _Journal of Statistical Software_, 12(4), 1-21.