r*y
3 楼
Just numerically integrate it from x to a very large number, say 10000.
Depending on your requirement of precision, sometimes just to 100 would be
enough.
Or another approach, do integration from 0 to x, and you know the integral
from 0 to inf is sqrt(pi)/2. So you know the integral from x to inf.
Exp(-x^2) is dropping very fast from 0 to inf, accumulated contribution
outside 10 FWHM is really small.
【在 c******a 的大作中提到】
: Thanks a lot!
w*r
4 楼
you can transform the variable x to its associated probaliliy given that you
know this varible has what kind of distribution. for example:
phi(x)=z, z belongs to [0,1], the unbounded integral is transformed into the
bounded integral ,but you also need to changed the pdf , new pdf is equal to
the "old" pdf times the Jacobian of the transformation.
【在 c******a 的大作中提到】
: Thanks a lot!
know this varible has what kind of distribution. for example:
phi(x)=z, z belongs to [0,1], the unbounded integral is transformed into the
bounded integral ,but you also need to changed the pdf , new pdf is equal to
the "old" pdf times the Jacobian of the transformation.
【在 c******a 的大作中提到】
: Thanks a lot!
b*n
5 楼
转换成标准正态分布然后查表
http://www.math.unb.ca/~knight/utility/NormTble.htm
【在 c******a 的大作中提到】
: Thanks a lot!
http://www.math.unb.ca/~knight/utility/NormTble.htm
【在 c******a 的大作中提到】
: Thanks a lot!
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