- #1
KayBox
- 6
- 0
Hello and thank you in advance for anyone taking time to respond.
I working on formulating a theory for elastodynamics, but my statistics is admittedly weak. I'm trying to find a relationship between a non random function and a random function, for example, the covariance.
<A(x)B(y)>=some 2 point probability for 2 random functions.
These are discrete random variables, so the result is usually calculated numerically or by experimental observation.
The problem I'm having is what if B(y) is non-random (ie deterministic) and continuous (not discrete)? I understand there is a discrete and integral formulation for discrete and continuous functions respectively, but I keep getting stuck. Its like I'm trying to find a connection that shouldn't be there, but they always come up in the formulation. Can anyone give me an idea of where to start?
I working on formulating a theory for elastodynamics, but my statistics is admittedly weak. I'm trying to find a relationship between a non random function and a random function, for example, the covariance.
<A(x)B(y)>=some 2 point probability for 2 random functions.
These are discrete random variables, so the result is usually calculated numerically or by experimental observation.
The problem I'm having is what if B(y) is non-random (ie deterministic) and continuous (not discrete)? I understand there is a discrete and integral formulation for discrete and continuous functions respectively, but I keep getting stuck. Its like I'm trying to find a connection that shouldn't be there, but they always come up in the formulation. Can anyone give me an idea of where to start?