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- Raikov's_theorem abstract "In probability theory, Raikov’s theorem, named after Dmitry Raikov, states that if the sum of two independent non-negative random variables X and Y has a Poisson distribution, then both X and Y themselves must have the Poisson distribution.It says the same thing about the Poisson distribution that Cramér's theorem says about the normal distribution. It can readily be shown by mathematical induction that the same is true of the sum of more than two independent random variables.".
- Raikov's_theorem wikiPageID "27168414".
- Raikov's_theorem wikiPageRevisionID "525380378".
- Raikov's_theorem hasPhotoCollection Raikov's_theorem.
- Raikov's_theorem subject Category:Characterization_of_probability_distributions.
- Raikov's_theorem subject Category:Probability_theorems.
- Raikov's_theorem subject Category:Statistical_theorems.
- Raikov's_theorem type Abstraction100002137.
- Raikov's_theorem type Communication100033020.
- Raikov's_theorem type Message106598915.
- Raikov's_theorem type ProbabilityTheorems.
- Raikov's_theorem type Proposition106750804.
- Raikov's_theorem type Statement106722453.
- Raikov's_theorem type StatisticalTheorems.
- Raikov's_theorem type Theorem106752293.
- Raikov's_theorem comment "In probability theory, Raikov’s theorem, named after Dmitry Raikov, states that if the sum of two independent non-negative random variables X and Y has a Poisson distribution, then both X and Y themselves must have the Poisson distribution.It says the same thing about the Poisson distribution that Cramér's theorem says about the normal distribution. It can readily be shown by mathematical induction that the same is true of the sum of more than two independent random variables.".
- Raikov's_theorem label "Raikov's theorem".
- Raikov's_theorem sameAs m.0bwjn8p.
- Raikov's_theorem sameAs Q7283856.
- Raikov's_theorem sameAs Q7283856.
- Raikov's_theorem sameAs Raikov's_theorem.
- Raikov's_theorem wasDerivedFrom Raikov's_theorem?oldid=525380378.
- Raikov's_theorem isPrimaryTopicOf Raikov's_theorem.