% renkou1=renkou(:,1);%年末常住人口数 
% renkou2=renkou(:,2);%户籍人口
% renkou3=renkou(:,3);%非户籍人口
% shjian=1979:2010; 
%以上数据自己给
x0=renkou2';
n=length(x0);
lamda=x0(1:n-1)./x0(2:n)
range=minmax(lamda)
x1=cumsum(x0)
for i=2:n
z(i)=0.5*(x1(i)+x1(i-1));
end
B=[-z(2:n)',ones(n-1,1)];
Y=x0(2:n)';
u=B\Y
x=dsolve('Dx+a*x=b','x(0)=x0');
x=subs(x,{'a','b','x0'},{u(1),u(2),x1(1)});
yuce1=subs(x,'t',[0:n-1]);
digits(6),y=vpa(x) %为提高预测精度,先计算预测值,再显示微分方程的解
yuce=[x0(1),diff(yuce1)]
epsilon=x0-yuce %计算残差
delta=abs(epsilon./x0) %计算相对误差
rho=1-(1-0.5*u(1))/(1+0.5*u(1))*lamda %计算级比偏差值
%以深圳人口数据得到预测模型及预测误差相关数据
 
lamda =
 Columns 1 through 8
 0.9741 0.9611 0.9419 0.8749 0.9311 0.9093 0.9302 0.9254
 Columns 9 through 16
 0.9245 0.9278 0.9442 0.9376 0.9127 0.9148 0.9332 0.9477
 Columns 17 through 24
 0.9592 0.9445 0.9551 0.9562 0.9594 0.9461 0.9469 0.9239
 Columns 25 through 31
 0.9140 0.9077 0.9243 0.9268 0.9312 0.9446 0.9618
 
range =
 0.8749 0.9741
 
x1 =
 1.0e+003 *
 Columns 1 through 8
 0.0313 0.0634 0.0967 0.1322 0.1727 0.2162 0.2641 0.3155
 Columns 9 through 16
 0.3711 0.4313 0.4961 0.5647 0.6380 0.7182 0.8059 0.8999
 Columns 17 through 24
 0.9990 1.1024 1.2119 1.3265 1.4463 1.5712 1.7033 1.8427
 Columns 25 through 32
 1.9936 2.1588 2.3407 2.5375 2.7499 2.9780 3.2194 3.4705
 
u =
 -0.0665
 31.3737
 
y =
 
-472.117+503.377*exp(.664533e-1*t)
yuce =
 Columns 1 through 8
 31.2600 34.5876 36.9641 39.5040 42.2183 45.1192 48.2194 51.5326
 Columns 9 through 16
 55.0734 58.8576 62.9017 67.2238 71.8428 76.7792 82.0548 87.6928
 Columns 17 through 24
 93.7183 100.1578 107.0397 114.3945 122.2547 130.6550 139.6324 149.2267
 Columns 25 through 32
 159.4802 170.4382 182.1492 194.6649 208.0405 222.3352 237.6121 253.9386
 
epsilon =
 Columns 1 through 8
 0 -2.4976 -3.5741 -4.0540 -1.6983 -1.5992 -0.3594 -0.0826
 Columns 9 through 16
 0.5266 1.2824 1.9183 1.4262 1.3772 3.4408 5.6352 6.2772
 Columns 17 through 24
 5.4417 3.2222 2.4203 0.2055 -2.4047 -5.7350 -7.5924 -9.7767
 Columns 25 through 32
 -8.5502 -5.3082 -0.2192 2.1651 4.3395 5.7348 3.8379 -2.9086
 
delta =
 Columns 1 through 8
 0 0.0778 0.1070 0.1144 0.0419 0.0367 0.0075 0.0016
 Columns 9 through 16
 0.0095 0.0213 0.0296 0.0208 0.0188 0.0429 0.0643 0.0668
 Columns 17 through 24
 0.0549 0.0312 0.0221 0.0018 0.0201 0.0459 0.0575 0.0701
 Columns 25 through 32
 0.0567 0.0321 0.0012 0.0110 0.0204 0.0251 0.0159 0.0116
 
rho =
 Columns 1 through 8
 -0.0411 -0.0271 -0.0066 0.0650 0.0049 0.0282 0.0058 0.0110
 Columns 9 through 16
 0.0119 0.0084 -0.0091 -0.0020 0.0245 0.0223 0.0027 -0.0128
 Columns 17 through 24
 -0.0251 -0.0094 -0.0208 -0.0219 -0.0254 -0.0111 -0.0119 0.0126
 Columns 25 through 31
 0.0232 0.0300 0.0122 0.0095 0.0048 -0.0095 -0.0280