Fundamental notions such as random variables, distribution functions and probability density functions facilitate the analysis of both discrete and continuous outcomes.

A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable taking on a specific value.

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 29, No. 3/4 (Dec., 1967), pp. 235-248 (14 pages) The paper presents a concise discussion of some probability density functions ...

We consider the estimation of a probability density function by linear smoothing of the observed density. A basis for estimation is obtained by assuming that the ordinates of the true density function ...

The course covers the probability, distribution theory and statistical inference needed for advanced courses in statistics and econometrics. Michaelmas term: Probability.