Discover what a log-normal distribution is, its financial applications, and how to calculate it, including using Excel for ...

Vector formulation of random variables and their parameters. Mean square estimation and orthogonality principle. Criteria for estimators. Introduction to random processes: distribution and density ...

Zelen and Dannemiller [8] proposed a general life distribution function using a weighted sum of Laguerre polynomials (with non-constant weights). Their results are extended here by obtaining the ...

Description: An introduction to probability theory and the basic statistical estimation methods. Topics include: axiomatic development of probability theory, counting methods, conditional probability ...

The course covers the probability, distribution theory and statistical inference needed for third year courses in statistics and econometrics. Michaelmas term: Events and their probabilities. Random ...

A necessary condition is given for the convergence of distributions of the sums of a random number of independent random variables. This is made on the basis of a theorem which gives sufficient ...

Random Variables and Probability Distributions Random Variable: It is a real-valued function that assigns a numerical value to each possible outcome of a random experiment.

This is a core course that provides key mathematical tools for modelling and analysing engineering problems. These tools represent a balance of stochastic and deterministic modelling approaches along ...