Enter the values of random variable values and results in the statistics of such variable. Enter any stochastic process and results in the ensemble and the time statistics of such process. The GUI can ...

Random Variable Transformation (RVT) Technique: A method used to determine the probability density function of a transformed random variable or process, key to deriving complete stochastic ...

Stochastic differential equations (SDEs) and random processes form a central framework for modelling systems influenced by inherent uncertainties. These mathematical constructs are used to rigorously ...

Article citations More>> Pillai, S.U. and Papoulis, A. (2002) Probability, Random Variables and Stochastic Processes. McGraw-Hill Europe. has been cited by the following article: TITLE: Origin of ...

Article citations More>> Papoulis, A. (1965) Probability, Random Variables and Stochastic Processes. McGraw Hill, Boston, 238. has been cited by the following article: TITLE: The Bell Inequality, ...

The article brings together a few elements of probability theory with a view to subsequent applications to physical data processing. In this context, the title "random processes" means that we are ...

CATALOG DESCRIPTION: Advanced topics in random processes: point processes, Wiener processes; Markov processes, spectral representation, series expansion of random processes, linear filtering, Wiener ...

Random events and random variables differ from deterministic events and variables in that it is impossible to precisely predict their occurrences or numerical values. Before tackling the notion of ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...