A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

This paper examines further the problem of approximating the distribution of a continuous random variable based on three key percentiles, typically the median (50th percentile) and the 5% points (5th ...

In other words, the sample mean is a random variable. As such, it has a distribution. That is also the case for the sample proportion and many other statistics. Population distribution gives ...

A continuous distribution refers to a random variable drawn from an infinite set. Examples of continuous random variables include speed, distance, and some asset returns.

Normal Distribution 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 ...

Continuous variable quantum key distribution allows secure communication that is more robust against channel losses than discrete approaches, yet is strongly affected by noise.

Mohammad Jafari Jozani, François Perron, On the Use of Antithetic Variables to Improve Over the Ranked Set Sampling Estimator of the Population Mean, Sankhyā: The Indian Journal of Statistics, Series ...