In this paper, we propose a new speech probability distribution, two-sided generalized gamma distribution (GΓD) for an efficient parametric characterization of speech spectra. GΓD forms a generalized class of parametric distributions including the Gaussian, Laplacian and Gamma probability density functions (pdf’s) as special cases. All the parameters associated with the GΓD are estimated by the...

Nomenclature AoA = Angle of Attack CDF = Cumulative Distribution Function CoG = Center of Gravity CoV = Coefficient of Variation DLR = Deutsches Zentrum fuer Luftund Raumfahrt (German Aerospace Center) hb = ratio of vehicle bottom height to vehicle height hb2 = height parameter, s. Appendix A H = height of vehicle KS = Kolmogorov-Smirnov distance L = length of vehicle L/Dmax = maximum lift-to-d...

In this paper, we propose a new speech probability distribution, two-sided generalized gamma distribution (GΓD) for an efficient parametric characterization of speech spectra. GΓD forms a generalized class of parametric distributions including the Gaussian, Laplacian and Gamma probability density functions (pdf’s) as special cases. All the parameters associated with the GΓD are estimated by the...

This study explores the posterior predictive distributions obtained with various Bayesian inference methods for neural networks. The quality of the distributions is assessed both visually and quantitatively using Kullback–Leibler (KL) divergence, Kolmogorov–Smirnov (KS) distance and precision-recall scores. We perform the analysis using a synthetic dataset that allows for a more detailed examin...

LiDAR is an excellent source of elevation data used in many surveys. The spaceborne handle system, Global Ecosystem Dynamics Investigation (GEDI), provides ground information with high accuracy except for areas steep slopes. GEDI have a lot noise from atmospheric conditions, and therefore filtering procedures are mandatory to select the best dataset. dataset presents uncertainties different mag...

In statistics, two-sample tests are used to determine whether two samples have been drawn from the same population. A widely used test as such is the Kolmogorov-Smirnov two-sample test. There are other distribution-free tests which might be applied in similar occasions. In this article, we describe a two-sample omnibus test introduced by Epps and Singleton, which has – albeit being distribution...