Poisson Process Conditional Distribution

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jiml
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Homework Statement


[itex]X_t[/itex] and [itex]Y_t[/itex] are poisson processes with rates [itex]a[/itex] and [itex]b[/itex]

[itex]n = 1,2,3...[/itex]Find the CDF [itex]F_X{}_t{}_|{}_X{}_t{}_+{}_Y{}_t{}_={}_n(x)[/itex]

Homework Equations


The Attempt at a Solution


[itex]F_X{}_t{}_|{}_X{}_t{}_+{}_Y{}_t{}_={}_n(x)[/itex]

[itex]=P(X_t<x|X_t+Y_t=n)[/itex]

[itex]=\frac{P(X_t<x,X_t+Y_t=n)}{P(X_t+Y_t=n)}[/itex]

Not sure from here, but here goes:

[itex]=\frac{P(Y_t>n-x)}{P(X_t+Y_t=n)}[/itex]

[itex]=1-\frac{P(Y_t<=n-x)}{P(X_t+Y_t=n)}[/itex]
Not sure if doing correctly.
 
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jiml said:

Homework Statement


[itex]X_t[/itex] and [itex]Y_t[/itex] are poisson processes with rates [itex]a[/itex] and [itex]b[/itex]

[itex]n = 1,2,3...[/itex]


Find the CDF [itex]F_X{}_t{}_|{}_X{}_t{}_+{}_Y{}_t{}_={}_n(x)[/itex]


Homework Equations





The Attempt at a Solution


[itex]F_X{}_t{}_|{}_X{}_t{}_+{}_Y{}_t{}_={}_n(x)[/itex]

[itex]=P(X_t<x|X_t+Y_t=n)[/itex]

[itex]=\frac{P(X_t<x,X_t+Y_t=n)}{P(X_t+Y_t=n)}[/itex]

Not sure from here, but here goes:

[itex]=\frac{P(Y_t>n-x)}{P(X_t+Y_t=n)}[/itex]

[itex]=1-\frac{P(Y_t<=n-x)}{P(X_t+Y_t=n)}[/itex]



Not sure if doing correctly.

Since X and Y are counting processes, you should probably avoid using the letter 'x' for values of them, so instead, should use something like ##F_{X_t|X_t + Y_t = n}(m).## Note also that the standard definition of a cdf involves '≤', not '<', so
[tex]F_{X_t|X_t + Y_t = n}(m) = P(X_t \leq m|X_t+Y_t = n).[/tex]
 
Can someone please help me with my solution, whether I am on the right track in my steps to get to a solution. Thanks
 
jiml said:
Can someone please help me with my solution, whether I am on the right track in my steps to get to a solution. Thanks

All you have done is use the definition of conditional probability; you are nowhere near the final solution.
 
ok,thanks
 
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