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 ...

We study the asymptotic covariance function of the sample mean and quantile, and derive a new and surprising characterization of the normal distribution: the asymptotic covariance between the sample ...

This video describes the central limit theorem and some properties of the normal distribution. Understanding this will help you tie together many of the different types of hypothesis tests and ...

In statistics and financial analysis, a Z score measures how normal any given data point is compared to the average value of the data. Finding Z scores, or standard scores, is relevant to many ...

Circular statistics is a specialised subfield of statistics that focuses on analysing data points distributed on a circle. Unlike conventional linear statistics, circular data is characterised by ...

Slash distributions offer a flexible framework for modelling heavy-tailed phenomena and atypical data behaviour in statistical inference. Originating as a means to construct distributions with high ...