Combination of Probability Density Functions

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FrankDrebon
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Hi all,

I need to calculate the probability density function [itex]f\left( Y \right)[/itex] of a function [itex]Y[/itex] of two variables [itex]A[/itex] and [itex]B[/itex] with known individual probability density functions [itex]f\left( A \right)[/itex] and [itex]f\left( B \right)[/itex]. What is the correct way to combine the PDF's?

Specifically, I have a variable Y dependent on A and B by:

[itex]Y = A + 2B[/itex]

I know [itex]f\left( A \right)[/itex] and [itex]f\left( B \right)[/itex], how do I write [itex]f\left( Y \right)[/itex] in terms of [itex]f\left( A \right)[/itex] and [itex]f\left( B \right)[/itex]?

Stats isn't my strong point so apologies if this is trivial!

F
 
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The most direct way is to do it in two steps.
Step 1: C = 2B (scale density function).
Step 2: Y = A + C (convolution of density functions of A and C results in density function for Y).