Find an honest price quote for λs (Poisson circulation)

So I have this trouble to address ...


Let X represent the variety of paint issues located in a square backyard area of an auto body repainted by a robotic.

These information are gotten : 8, 5, 0, 10, 0, 3, 1, 12, 2, 7, 9, 6

Assume that X has a Poisson circulation with parameter λs.

a) Find an honest price quote for λs.

b) Find an honest price quote for the ordinary variety of imperfections per square backyard.

c) Find an honest price quote for the ordinary variety of imperfections per square foot.


I have no suggestion where to begin. I suggest, just how do I also locate ANY honest price quote? The book wears imo and also I can not locate any kind of excellent analyses on the internet either ... please aid.

0
2019-12-02 02:48:32
Source Share
Answers: 1

In a rather even more basic setup, allow $A(R)$ represent the location of area $R$. If the variety of imperfections located on area $R$ adheres to a Poisson circulation, after that the mean is symmetrical to $A(R)$. That is, if $X(R)$ represents the variety of imperfections located on area $R$, after that $X(R)$ is Poisson dispersed with mean $\lambda A(R)$, for some dealt with $\lambda > 0$. Currently, if $X_1,\ldots,X_n$ are i.i.d. Poisson$(\lambda)$ motor home is (representing the variety of imperfections located on a device - location region, claim square backyard), after that $\frac{1}{n}\sum\nolimits_{i = 1}^n {X_i }$ is an honest estimator for $\lambda$, and also subsequently, $\frac{1}{n}\sum\nolimits_{i = 1}^n {A(R) X_i }$ is an honest estimator for $\lambda A(R) = {\rm E}[X(R)]$. So, in order to approximate ${\rm E}[X(R)]$, it is adequate to approximate $\lambda$ (and afterwards simply increase by $A(R)$).

0
2019-12-03 05:08:30
Source