matlab jbtest检验>> [h,p,jbstat,cv]=jbtest(x)Warning:P is less than the smallest tabulated value,returning 0.001.> In jbtest at 136 h =1p =1.0000e-003jbstat =183.3871cv =5.6599Warning:P is less than the smallest tabulated value,returning 0.001.这
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matlab jbtest检验>> [h,p,jbstat,cv]=jbtest(x)Warning:P is less than the smallest tabulated value,returning 0.001.> In jbtest at 136 h =1p =1.0000e-003jbstat =183.3871cv =5.6599Warning:P is less than the smallest tabulated value,returning 0.001.这
matlab jbtest检验
>> [h,p,jbstat,cv]=jbtest(x)
Warning:P is less than the smallest tabulated value,returning 0.001.
> In jbtest at 136
h =
1
p =
1.0000e-003
jbstat =
183.3871
cv =
5.6599
Warning:P is less than the smallest tabulated value,returning 0.001.
这个什么情况啊 怎么处理?
matlab jbtest检验>> [h,p,jbstat,cv]=jbtest(x)Warning:P is less than the smallest tabulated value,returning 0.001.> In jbtest at 136 h =1p =1.0000e-003jbstat =183.3871cv =5.6599Warning:P is less than the smallest tabulated value,returning 0.001.这
h为测试结果,若h=0,则可以认为X是服从正态分布的;若h=1,则可以否定X服从正态分布;
p为接受假设的概率值,P越接近于0,则可以拒绝是正态分布的原假设;
jbstat为测试统计量的值;
cv为是否拒绝原假设的临界值.
因此,可以看出你的X不服从正态分布.是正态分布的概率为0.001!