Research Article

[Retracted] Comparison of Five Methods to Estimate the Parameters for the Three-Parameter Lindley Distribution with Application to Life Data

Code 1

clc
clear
%Number of Trials (10000).
m=1;M=zeros(3,5);MSE=zeros(3,5);MAE=zeros(3,5);MRE=zeros(3,5);
for j=1:m
%Size of sample, theta's, alpha's and beta's Values, you can change them.
P=[10 1 3 2]; %[n T A B]
n=P(1); %Size of sample
T=P(2); %theta
A=P(3); %alpha
B=P(4); %beta
for i=1:n
end
x=round(x',4);
z=sort(x);
syms T A B
%Initial
y0=[P(2) P(3) P(4)];
%MLE
S1=0;S2=0;S3=0;
for i=1:n
S1=S1+x(i)/n;
S2=S2+log((x(i)));
S3=S3+x(i)^2/n;
end
;
F=@(y) double(LL(y(1),y(2),y(3)));
[TAB,fval,exitflag1]=fminunc(F,y0);
T_ML=TAB(1);
A_ML=TAB(2);
B_ML=TAB(3);
%OLE.
S=0;
for i=1:n
;
end
S(T,A,B)=S;
F=@(y) double(S(y(1),y(2),y(3)));
[TAB,fval,exitflag2]=fminunc(F,y0);
T_LS=TAB(1);
A_LS=TAB(2);
B_LS=TAB(3);
%WLS.
S=0;
for i=1:n
;
;
end
S(T,A,B)=S;
F=@(y) double(S(y(1),y(2),y(3)));
[TAB,fval,exitflag3]=fminunc(F,y0);
T_WLS=TAB(1);
A_WLS=TAB(2);
B_WLS=TAB(3);
%MPS
syms u
;
;
S=0;
y(1)=0;z(n+1)=inf;
for i=1:n+1.
y(i+1)=z(i);
D(i)=CF(y(i+1))-CF(y(i));
if D(i)==0
S=S+log(pdf(y(i)));
else
S=S+log(D(i));
end
end
S(T,A,B)=-S/(n+1);
F=@(y) double(S(y(1),y(2),y(3)));
[TAB,fval,exitflag4]=fminunc(F,y0);
T_MPS=TAB(1);
A_MPS=TAB(2);
B_MPS=TAB(3);
%CVM
S=0;
for i=1:n
;
end
S(T,A,B)=S+1/(n);
F=@(y) double(S(y(1),y(2),y(3)));
[TAB,fval,exitflag5]=fminunc(F,y0);
T_CVM=TAB(1);
A_CVM=TAB(2);
B_CVM=TAB(3);
E=[P(2) T_ML T_LS T_WLS T_MPS T_CVM;P(3) A_ML A_LS A_WLS A_MPS A_CVM;P(4) B_ML B_LS B_WLS B_MPS B_CVM];%Real MLE,OLS,WLS,MPS,CVM.
E_ML=(E(:,2)-E(:,1));
E_LS=(E(:,3)-E(:,1));
E_WLS=(E(:,4)-E(:,1));
E_MPS=(E(:,5)-E(:,1));
E_CVM=(E(:,6)-E(:,1));
%if max(abs(sum(E(:,2:6),2)/5-P(:,2:4)'))<sum(P(:,2:4))
(exitflag1+exitflag2+exitflag3+exitflag4+exitflag5)
if (exitflag1+exitflag2+exitflag3+exitflag4+exitflag5)>=5
M=M+E(:,2:6)
MSE=MSE+[E_ML E_LS E_WLS E_MPS E_CVM].^2
MAE=MAE+abs([E_ML E_LS E_WLS E_MPS E_CVM])
end
end
M=M/m;
MSE=MSE/m;
MAE=MAE/m;