Poisson Processes Flashcards

1
Q

poisson distrubutiins

A

distributions that arise when counting random events with key properties

  1. events in disjoint time intervals are independent
  2. the rate at which events occur does not depend on time
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2
Q

processes and events of poisson

A
  • radioactive decay = arrival of a particle at counter
  • traffic flow on a minor road = car passing
  • distribution of a plant in a field = plant
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3
Q

for histograms described by Poisson distributions

A

mew = sigma squared

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4
Q

poisson approximation to binomial

A

can be made if n is large and p is small enough and np<10
- when n is large and p is small, then X~B(n,p)
mew = np, sigma squared = np(1-p) = np = mew
X~Pois(n,p)

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5
Q

if X has a Poisson distribution with mean mew and written X~poiss(mew)

A
then p(k) = (e^-mew mew^k)/k!
k is an integer
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