function losses=mc_study2(system,range,n)

load 'eta.txt';
load 'Beta.txt';
load 'ny.txt';
H1(:,:,1)=eta;
H1(:,:,2)=Beta;
u1=ny;
    
load 'eta2.txt';
load 'Beta2.txt';
load 'ny2.txt';
H2(:,:,1)=eta2;
H2(:,:,2)=Beta2;
u2=ny2;
for i=1:n
    apriori(3)=range.P0;
    system.b=range.b0 + apriori(3)*randn;
    apriori(2)=range.b0 + apriori(3)*randn;
    apriori(1)=range.y0 + range.y0_range*randn;
    while (system.b==0)
        system.b=range.b0 + apriori(3)*randn;
    end
    while (apriori(2)==0)
        apriori(2)=range.b0 + apriori(3)*randn;
    end
    seed=randn(1,size(H1,1)+2);
    losses(1,i)=rizeni(H1,u1,system,apriori,seed);
   % losses(2,i)=rizeni(H2,u2,system,apriori,seed);
end
end