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poisson

poisson

1 9.9
A way to predict how many times independent events happen in a fixed time when the average rate is steady
  • noun
  • /pwɑːˈsɒn/
  • Specialized
translation icon : distribución de Poisson
  • The count of arrests was assumed to have a Poisson distribution.
  • Poisson distribution
  • Poisson model
  • Poisson regression

Examples

  • I've done this with other volcanoes, and even tried a Poisson distribution.

    Blog text (34)
  • The exponential distribution is the continuous analog of the Poisson distribution.

    Academic text (1991)
  • You see, here we have a normal Poisson distribution for the animal population.

    Fiction book (1990)
  • Poisson regression allows rate ratios and their confidence intervals to be obtained.

    Academic text (2005)
  • We used multi-variable Poisson regression models with robust variance.

    Academic text (2011)
  • Therefore, the auditing system's alarms should be truly random, i.e., these alarms should be a Poisson-like process.

    Academic text (1999)
  • The SaTScan space-time retrospective discrete Poisson model identified fewer and larger high-low clusters.

    Academic text (2018)
  • In statistical modeling, the number of events in a fixed interval often follows a Poisson distribution.

  • Researchers often use a Poisson distribution to predict the number of customer arrivals at a store during lunch hours.

  • To analyze traffic accidents at a busy intersection, we applied a Poisson distribution to estimate the frequency of incidents.

Synonyms

Poisson distribution
vspoisson
  • Specialized
8.2

A model showing how often rare events happen in a fixed time or area

focuses on independent events occurring at a constant average rate

Idioms

People like different things

Compounds

Poisson distribution
  • Specialized
8.2

A model showing how often rare events happen in a fixed time or area

Surface Forms

poisson singular
poissons plural

Etymology

Poisson in statistics is named after the French mathematician Poisson, not the 'fish'. It describes how many times an event happens in a fixed time at a steady average rate, which is why we use it to model counts like phone calls or accidents.