Displaying 2 results from an estimated 2 matches for "y_est".
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y_test
2005 Apr 01
1
optim problem, nls regression
...5]-(x/number[2])^number[7])^2)+
sum((y- number[6]-(x/number[3])^number[7])^2)+
for minimising this sum, I compute the function "sce":
sce<-function(param){
sce_yest<-matrix(nrow=3,ncol=1)
for( i in 1:3){
yy<-(y[((long[i]+1):long[i+1])])
xx<-x[(long[i]+1):(long[i+1])]
y_est<-(param[i+2]-(xx/param[i])^param[(2*3)+1])
sce_yest[i,]<-sum((yy-y_est)^2)
}
return(sum(sce_yest))
}
Then, I use the fonction optim for obtaining a vector of 7 parameters which
will minimise the fonction sce. I use initial parameters at random that I
don't have a answer relating to a...
2005 Apr 08
0
TR: The results of your email commands
...1):((long[i]+1)+(length(vv)=length(yy))-1))]
fl<-optim(p=pinit,sce,method="L-BFGS-B",lower=pinf,upper=psup,
control=list(maxit=200000,temp=200))
co<-fl$par
coe<-fl$value
coeff<-c(co,coe)
}
coeff
#graphical verification
plot(x_b,y_b)
y_est<-coeff[6]-(x_b/coeff[2])^coeff[7]
points(x_b,y_est)
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