As with all probability distributions, the Normal Distribution describes how the values of your data are distributed. Subsequently, it is one of the most important probability distributions in ...

The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 29, No. 2 (Jun., 1967), pp. 175-182 (8 pages) The exact distribution of extremes in a sample and its limiting forms are well known ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

Cook, Gold, and Li (2007, Biometrics 63, 540-549) extended the Kulldorff (1997, Communications in Statistics 26, 1481-1496) scan statistic for spatial cluster detection to survival-type observations.