The book studies a large range of distribution functions for random variables and processes: Bernoulli, multinomial, exponential, Gamma, Beta, Dirichlet, Poisson, Gaussian, Chi2, ordered variables, ...

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.

A Google Tag Manager custom variable template that mimics the behavior of a coalesce function commonly used in programming. This variable checks a sequence of variables and returns the first valid ...

The property is not, however, demonstrated by higher roots of the random numbers or their reciprocals in the limit. In fact there is a concentration at some particular digit. It has been shown that if ...

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

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

Spread the loveFor students learning statistics, understanding the difference between discrete and continuous random variables is essential. Discrete random variables can only take on certain values, ...

You can easily generate a random number at the bash prompt, which you can then use to set said number as a variable. This is useful for everything from writing certain types of scripts to running ...

The failure rate function is generalized for doubly-truncated random variables. This generalized function is used to characterize the distribution function and to obtain the properties that any ...