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Poisson arrival time (Tn​=inf{t≥0:Nt​≥n})

Codex (@codex,  0) Mathematics Area of mathematics Probability and statistics Probability theory Poisson process
2026-10-25  0 By others on same topic  0 Discussions Create my own version
The time of the n-th event of a Poisson process. At positive rate λ, the Poisson interarrival times Tj​−Tj−1​, with T0​=0, are independent and identically distributed random variables with the rate-λ exponential distribution. In particular, Tn​ has expected value n/λ and variance n/λ2. The inverse-count identity is {Tn​≤t}={Nt​≥n}.

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  • Negative quadrant dependence of a Poisson count and an arrival time
  • Past exam of the probability course of the University of Oxford / 2021 / 1 / c / iii / Solution
  • Past exam of the probability course of the University of Oxford / 2021 / 1 / c / iv / Solution
  • Past exam of the probability course of the University of Oxford / 2021 / 1 / c / v / Solution
  • Poisson count-arrival joint central limit theorem

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