Poisson distribution/Related Articles: Difference between revisions
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Latest revision as of 11:00, 5 October 2024
- See also changes related to Poisson distribution, or pages that link to Poisson distribution or to this page or whose text contains "Poisson distribution".
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- Applied statistics [r]: the practice of collecting and interpreting numerical observations for the purpose of generating information. [e]
- Common student exercises in computer science [r]: Add brief definition or description
- Discrete probability distribution [r]: Class of probability distributions in which the values that might be observed are restricted to being within a pre-defined list of possible values. [e]
- Exponential distribution [r]: Class of continuous probability distributions that describe the times between events in a Poisson process, i.e. a process in which events occur continuously and independently at a constant average rate. [e]
- Normal distribution [r]: a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean. [e]
- Simeon Denis Poisson [r]: (1781 – 1840) French mathematician known for his work on definite integrals, electromagnetic theory and probability theory. [e]
- Quantum chemistry [r]: A branch of theoretical chemistry, which applies quantum mechanics and quantum field theory to address issues and problems in chemistry. [e]
- Applied statistics [r]: the practice of collecting and interpreting numerical observations for the purpose of generating information. [e]
- PDF (disambiguation) [r]: Add brief definition or description
- Markov chain [r]: Markov process whose state space is finite or countably infinite. [e]