Poisson Processes Flashcards
1
Q
poisson distrubutiins
A
distributions that arise when counting random events with key properties
- events in disjoint time intervals are independent
- the rate at which events occur does not depend on time
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
3
Q
for histograms described by Poisson distributions
A
mew = sigma squared
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)
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