The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, ...

You can use the RAND () function to establish probability and create a random variable with normal distribution.

Ivan Bajic (ibajic at ensc.sfu.ca) Office hours: Monday and Wednesday, 13:00-14:00 online (Zoom, see the link in course materials) Introduction to the theories of probability and random variables, and ...

Introduction to the theories of probability and random variables, and their applications in the analysis and modelling of engineering systems.

Bounds for ordered random variables with exponential, beta and gamma marginals are presented and compared. The Indian Statistical Institute (ISI), is a unique P. C. Mahalanobish institution devoted to ...

Description: Basic concepts of probability and random variables. Time-dependent reliability models. Strength-based reliability and interference theory. Weakest-link and fail-safe systems. Extremal ...

This paper proves a number of inequalities which improve on existing upper limits to the probability distribution of the sum of independent random variables. The inequalities presented require ...