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What (who) is Markov's process - definition

INEQUALITY APPLYING TO NON-NEGATIVE RANDOM VARIABLES

Markov inequality; Markov’s inequality

$Markov's inequality gives an upper bound for the measure of the set (indicated in red) where <math>f(x)</math> exceeds a given level <math>\varepsilon</math>. The bound combines the level <math>\varepsilon</math> with the average value of <math>f</math>.$

Legal process

ANY FORMAL NOTICE OR WRIT BY A COURT OBTAINING JURISDICTION OVER A PERSON OR PROPERTY

Judicial process; Process (legal)

Legal process (sometimes simply process) is any formal notice or writ by a court obtaining jurisdiction over a person or property. Common forms of process include a summons, subpoena, mandate, and warrant.

https://en.wikipedia.org/wiki/Legal_process

Markov's inequality

In probability theory, Markov's inequality gives an upper bound for the probability that a non-negative function of a random variable is greater than or equal to some positive constant. It is named after the Russian mathematician Andrey Markov, although it appeared earlier in the work of Pafnuty Chebyshev (Markov's teacher), and many sources, especially in analysis, refer to it as Chebyshev's inequality (sometimes, calling it the first Chebyshev inequality, while referring to Chebyshev's inequality as the second Chebyshev inequality) or Bienaymé's inequality.

https://en.wikipedia.org/wiki/Markov's_inequality

Chemical process

METHOD OR MEANS OF SOMEHOW CHANGING ONE OR MORE CHEMICALS OR CHEMICAL COMPOUNDS

Process chemicals; Process (chemical)

In a scientific sense, a chemical process is a method or means of somehow changing one or more chemicals or chemical compounds. Such a chemical process can occur by itself or be caused by an outside force, and involves a chemical reaction of some sort.

https://en.wikipedia.org/wiki/Chemical_process

Wikipedia

Markov's inequality

In probability theory, Markov's inequality gives an upper bound for the probability that a non-negative function of a random variable is greater than or equal to some positive constant. It is named after the Russian mathematician Andrey Markov, although it appeared earlier in the work of Pafnuty Chebyshev (Markov's teacher), and many sources, especially in analysis, refer to it as Chebyshev's inequality (sometimes, calling it the first Chebyshev inequality, while referring to Chebyshev's inequality as the second Chebyshev inequality) or Bienaymé's inequality.

Markov's inequality (and other similar inequalities) relate probabilities to expectations, and provide (frequently loose but still useful) bounds for the cumulative distribution function of a random variable.

https://en.wikipedia.org/wiki/Markov's inequality