Stochastic processes

Counting process

A counting process is a stochastic process {N(t), t ≥ 0} with values that are non-negative, integer, and non-decreasing: 1. * N(t) ≥ 0. 2. * N(t) is an integer. 3. * If s ≤ t then N(s) ≤ N(t). If s < t, then N(t) − N(s) is the number of events occurred during the interval (s, t ]. Examples of counting processes include Poisson processes and Renewal processes. Counting processes deal with the number of occurrences of something over time. An example of a counting process is the number of job arrivals to a queue over time. If a process has the Markov property, it is said to be a Markov counting process. (Wikipedia).

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https://www.patreon.com/ProfessorLeonard Statistics Lecture 4.7: Fundamental Counting Rule, Permutations and Combinations

From playlist Statistics (Full Length Videos)

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From playlist Counting (Discrete Math)

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From playlist Searching and Sorting Algorithms

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From playlist Number Sense - Decimals, Percents, and Ratios

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From playlist Introduction to Algorithms

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From playlist Introduction to Decimals

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From playlist Number Sense - Decimals, Percents, and Ratios

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From playlist C Programming

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From playlist 13: Text and Data - Processing Tutorial

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From playlist Counting (Discrete Math)

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From playlist RailsConf 2017

Related pages

Markov property | Renewal theory | Stochastic process