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Hello,

I have a question regarding how to find an equation for data points that have

disturbances.

For example, I have the following data:

P = 366 measured values

T = 366 measured values

t = [ 1 : 366 ], representing the days of the year (index)

So, at each t (day), we have value of P and corresponding value of T

When drawing P and T vs. t, it shows a continued curve for P with disturbances. These

disturbances are caused by the change of T and it is clear that P is mainly affected

by T, meaning that: P = f ( T )

This figure is shown here:

http://store2.up-00.com/Sep11/VKq30182.jpg

This figure shows P vs. T:

http://store2.up-00.com/Sep11/esZ30295.jpg

My aim is to find this relation between P and T or in another words: P = f ( T )

What I have tried and think so far is first to smooth the curve P and from the smoothed

points and smoothed curve, some function may be established. Then, including the

effect of disturbances (up and down) by some function, may be exponential.

Could you please guide me how can I manipulate this problem to get a final model

P = f ( T ) .

Regards

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1 
You might have better luck with this at stats.stackexchange.com – Robby McKilliam Sep 19 2011 at 12:26

closed as off topic by Willie Wong, Igor Rivin, Andreas Blass, Kevin Walker, Andres Caicedo Sep 19 2011 at 15:12

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