1) square consistency
均方相合性
1.
As the error is a sequence of NA for the nonlinear regression model Y_(ni)=g(x_(ni))+ε_(ni),(1≤i≤n),and the linear regression model y_i=x_(i1)β_1+…+x_(ip)β_p+ε_i, i=1,2,…,n,the square consistency of a class of estimators is obtained.
考虑固定设计下的非线性回归模型Yni=g(xni)+εni,1≤i≤n,以及线性回归模型yi=xi1β1+…+xipβp+εi,i=1,2,…,n,当误差为NA序列时,获得了一类估计的均方相合性。
2.
In this paper,we obtain square consistency and uniform square consistency for regression model with linear time series error.
对于回归模型 Yni =g(xni) +εni,1≤i≤n ,g为未知函数 ,εni 为随机误差 ,用gn(x) =∑ni=1Wni(x,xn1 ,… ,xnn)Yni 估计g(x) ,在误差是一个弱平稳线性过程时 ,获得了gn(x)的均方相合性及一致均方相合性。
2) consistence inr-th order mean
r阶均方相合性
1.
On the basis of improving a lemma brought up by Parzen,given the consistence and uniform consistence inr-th order mean of kernel density estimation under embeded data.
密度核估计是一种具有广泛应用领域的非参数统计方法,在Parzen给出的一个基本引理的基础上,给出嵌套数据结构下密度核估计的r阶均方相合性及一致均方相合性。
3) mean square consistency
均方相合
4) the uniform consistence inr-th order mean
一致r阶均方相合性
5) consistency in quadratic mean
均方相容性
1.
We consider Threshold AR(1) Model that the Markov chain formed by is ergodicity, asymptotic unbiasedness, consistency in quadratic mean and asymptotic normality are given for the kernel density estimator.
对一维一阶一个门限的ＴＡＲ模型，通过模型所构成的Ｍａｒｋｏｖ链的遍历性，得到了其核密度估计的渐近无偏性，均方相容性和渐近正态
6) uniformly consistency
均匀相合性
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
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参考词条