Vladivostok State University of Economics

Eksponentsial taqsimlangan TS

Eksponentsial taqsimlangan TS

Eksponentsial taqsimlangan TS

ETTS empirik funksiyasi

Normal taqsimlangan TS

Normal taqsimlangan TS

Normal taqsimlangan TS

• % o'rtacha qiymat
• mz=sum(z)/(2*N);
• fprintf('\n\t m=%g\n',mz)
• %o'rtacha kvadratik chetlashish
• stz=sqrt(sum((z-mz).^2)/(length(z)-1));
• fprintf('\t s=%g\n',stz)
• %Normallashtirilgan qiymatlar
• zz=(z-mz)/stz;
• mzN=sum(zz)/(2*N);
• fprintf('\t m=%g\n',mzN)
• stzN=sqrt(sum((zz-mzN).^2)/(2*N-1));
• fprintf('\t s=%g\n',stzN)

Normal taqsimlangan TS

Normal taqsimlangan TS

• clc; clear all; close all; N=5000;
• for j=1:N
• X(j)=sum(rand(12,1))-6;
• end
• X=sort(X);
• m=mean(X);
• s=std(X);
• fprintf('\n\t m=%g\n',m)
• fprintf('\t s=%g\n',s)

Normal taqsimlangan TS

Bunday taqsimot matematik kutilmasi

• Bunday taqsimot matematik kutilmasi
• - , dispersiyasi - , o’rtacha kvadratik chetlashishi
• bo’ladi.

• EHM n-razryadli sonlar bilan ishlaganligi uchun, [0,1] oraliqda teng taqsimlangan TS uzluksiz to’plami o’rniga bu oraliq TS diskret ketma-ketligi qo’llaniladi. Bunday diskret TS taqsimot qonuni kvazi teng taqsimot deyiladi..

% N ta TTTS tanlanmasini shakllantirish

• % N ta TTTS tanlanmasini shakllantirish
• N=500; x=rand(N,1);
• %tanlanma o'rtacha qiymatini hisoblash
• m1=mean(x)
• %tanlanma dispersiyasini hisoblash
• d1=var(x)
• %tanlanma o'rtacha kvadratik chetlashishini hisoblash
• s1=std(x)
• %Nisbiy xatoliklarni foizlarda hisoblash
• %Mat.kutilma bo'yicha
• m=0.5; Dm=abs(mean(x)-m)/m*100;
• fprintf('MK buyicha nisbiy xatolik:%g%%\n', Dm)
• %Dispersiya bo'yicha
• d=1/12; Dd=abs(var(x)-d)/d*100;
• fprintf('Dispersiya buyicha nisbiy xatolik:%g%%\n',Dd)
• %O'rtacha kvadratik chetlashish bo'yicha
• s=sqrt(d); Ds=abs(std(x)-s)/s*100;
• fprintf('Urtacha kvadratik chetlashish buyicha nisbiy xatolik:%g%%\n',Ds)