vector of truncated distributions
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
george pepper
am 18 Aug. 2019
Beantwortet: george pepper
am 18 Aug. 2019
Hello, I would like to create a vector x such that
pd = makedist('Normal');
x(1)=truncate(pd,-inf,y(1));
x(2)=truncate(pd,-inf,y(2));
...
x(K)=truncate(pd,-inf,y(K));
I want to call this vector in CDF evaluations as follows
cdfeval=zeros(N,1)
for n=1:N
for k=1:K
if id(n)==id1(k)
cdfeval(n)=cdf(x(k),pi_point(n,:));
end
end
end
Is there any easy way to do this?
0 Kommentare
Akzeptierte Antwort
KALYAN ACHARJYA
am 18 Aug. 2019
Bearbeitet: KALYAN ACHARJYA
am 18 Aug. 2019
Save this function in separate Matlab file named x_vector.m
function x1=x_vector()
pd = makedist('Normal');
x1(1)=truncate(pd,-inf,y(1));
x1(2)=truncate(pd,-inf,y(2));
...
x1(K)=truncate(pd,-inf,y(K));
end
Now call the function in main script:
cdfeval=zeros(N,1)
x=x_vector();
for n=1:N
for k=1:K
if id(n)==id1(k)
cdfeval(n)=cdf(x(k),pi_point(n,:));
end
end
end
0 Kommentare
Weitere Antworten (1)
Siehe auch
Kategorien
Mehr zu NaNs finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!