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Suchithra��s Statistics Classes
Suchithra's Statistics Classes -- Poissonl Distribution, Part 1

Poisson Distribution �C P.D
Part �C 1
(Based on complementary Statistics
of Bsc , University of Calicut)
Suchithra's Statistics Classes -- Poissonl Distribution, Part 1
Definition & Moments

Let us see the following examples;
?The number of suicides in a day in a
particular area, say city, street etc.
?Number of deaths from rare diseases.
Here the outcomes are dichotomous,
either occurrence or non-occurrence,
with a small probability of occurrence or
success.
Suchithra's Statistics Classes- Poisson Distribution -Part 1

i.e,Being rare event, probability of occurrence ��p�� is
very small and the repetition of experiment ��n�� can
extent to infinity or large, ie. n tends to infinity.
This type of events discovered by Simeon Denis
Poisson in 1837 hence named Poisson Distribution.
This is called laws of rare events.
So we can frame the pdf of this type of event as a
limiting form of B D.
Suchithra's Statistics Classes- Poisson
Distribution -Part 1

Derivation of the pdf of P D as limiting form of B D.
The PD can also be applied to a class of binomial
events in which neither p nor n are known, but
their product �� is known or can be estimated.

Moments

Suchithra's Statistics Classes- Poisson
Distribution -Part 1

The things studied from this class

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Suchithra��s Statistics classes
Suchithra's Statistics Classes -- Poisson Distribution, Part 1

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Poisson Distribution Part 1

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Poisson Distribution Part 1