Discrete uniform distribution shows that variables in a range have the same probability of occurring. There are no variations in probable outcomes, and the data is discrete, rather than continuous.

By using one of the common stock probability distribution methods of statistical calculations, an investor may determine the likelihood of profits from a holding.

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, Chernoff bounds and large deviations, martingales, ...

Discrete Probability Distributions Definitions Area of Opportunity: (for Poisson distribution) a continuous interval (time, length, area, volume, etc). Binomial Distribution has the following ...

Key Points Variable data is data that is measured. It can be derived from anything that you measure within your processes. It ...

This is a graduate-level course focused on techniques and models in modern discrete probability. Topics include: the first and second moment methods, martingales, concentration inequalities, branching ...

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional ...

The Poisson distribution is a discrete probability distribution. It gives the probability of a certain number of events occurring during a fixed interval. This web calculator allows users to specify ...

(II) Once a maximizer is shown to be discrete our new methods can provide tight bounds on the number of mass points. To the best of our knowledge, this is the only approach available in the theory of ...