Hello,
I've got following function describing any kind of animal dispersal kernel:
def pdf(x,s1,s2):
return
(p/(math.sqrt(2*math.pi*s1**2))*numpy.exp(-((x-0)**(2)/(2*s1**(2)))))+((1-p)/(s2*math.sqrt(2*math.pi))*numpy.exp(-((x-0)**(2)/(2*s2**(2)))))
On the other hand I've got data from literature with which I want to fit the
function so that I get s1, s2 and x.
Ususally the data in the literature are as follows:
Example 1: 50% of the animals are between -270m and +270m and 90% are between
-500m and + 500m
Example 2: 84% is between - 5000 m and +5000m, and 73% are between -1000m and
+1000m
So far as I understand an integration of the function is needed to solve for s1
and s2 as all the literature data give percentage (area under the curve) Can
that be used to fit the curve or can that create ranges for s1 and s2.
/Johannes
--
NEU: FreePhone - kostenlos mobil telefonieren!
Jetzt informieren: http://www.gmx.net/de/go/freephone
------------------------------------------------------------------------------
EditLive Enterprise is the world's most technically advanced content
authoring tool. Experience the power of Track Changes, Inline Image
Editing and ensure content is compliant with Accessibility Checking.
http://p.sf.net/sfu/ephox-dev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
