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theorems for limits相关的网络例句

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This dissertation is concerned with some problems regarding the asymptotic property of nearest-neighbor density estimator for α—mixing and nagetive quadrant dependent samples. The results extend the corresponding theorems in i.i.d.

本文主要考虑了最近邻密度估计在α—混合序列和两两NQD混合序列情形下的大样本性质,推广了独立同分布和其它相依情形下最近邻密度估计的大样本性质,如相合性、渐近正态性等。

Describes general methods of point and interval parameter estimation and the small and large sample properties of estimators: method of moments, maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, asymptotic relative efficiency of estimators.

点估计和区间估计的一般方法,估计量的小样本和大样本性质:矩法,极大似然估计,无偏估计,Rao-Blackwell 和 Lehmann-Scheffe 理论,信息不等式,渐进相对有效估计量。

Maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, asymptotic relative efficiency of estimators.

点估计和区间估计的一般方法,估计量的小样本和大样本性质:矩法,极大似然估计,无偏估计,Rao-Blackwell 和Lehmann-Scheffe 理论,信息不等式,渐进相对有效估计量。

Topics include permutation tests, permutation limit theorems, 2-sample rank tests and their asymptotic efficiency, k-sample rank tests, 1-sample tests of location, paired comparisons, rank tests for symmetry and independence, and analogues of linear modeling based on ranks.

包括排列检验,排列极限理论,两样本秩检验及其渐进有效性,k个样本的秩检验,单样本的位置检验,配对比较检验,对称分布和独立分布的秩检验,基于秩的线性模型的模拟。

Topics include permutation tests, permutation limit theorems, 2-sample rank tests and their asymptotic efficiency, k-sample rank tests, 1-sample tests of location, paired comparisons, rank tests for symmetry and independence, and analogues

包括排列检验,排列极限理论,两样本秩检验及其渐进有效性,k个样本的秩检验,单样本的位置检验,配对比较检验,对称分布和独立分布的秩检验,基于秩的线性模型的模拟。

Limit theorems, asymptotic methods, asymptotic efficiency and efficiency bounds for estimation, maximum likelihood estimation, Bayes methods, asymptotics via derivatives of functionals, sample-based estimates of variability:; robustness; estimation for dependent data, nonparametric estimation and testing.

高级统计推断理论:极限理论,渐进方法,渐进有效和估计的效率,加大似然估计,贝叶斯方法,泛函数的微商渐进性,基于样本的估计:(bootstrap 和 jackknife方法);稳健性;独立数据的估计,非参数估计和经验。

Limit theorems, asymptotic methods, asymptotic efficiency and efficiency bounds for estimation, maximum likelihood estimation, Bayes methods, asymptotics via derivatives of functionals, sample-based estimates of variability:; robustness; estimation for dependent data, nonparametric

高级统计推断理论:极限理论,渐进方法,渐进有效和估计的效率,加大似然估计,贝叶斯方法,泛函数的微商渐进性,基于样本的估计:(bootstrap 和 jackknife方法);稳健性;独立数据的估计,非参数估计和经验。

STAT 581 Advanced Theory of Statistical Inference (3) Limit theorems, asymptotic methods, asymptotic efficiency and efficiency bounds for estimation, maximum likelihood estimation, Bayes methods, asymptotics via derivatives of functionals, sample-based estimates of variability:; robustness; estimation for dependent data, nonparametric estimation and testing.

高级统计推断理论:极限理论,渐进方法,渐进有效和估计的效率,加大似然估高级统计推断理论:计,贝叶斯方法,泛函数的微商渐进性,基于样本的估计:(bootstrap 和 jackknife 方法);稳健性;独立数据的估计,非参数估计和经验。

In chapter three, the new concepts of the bifurcation point and asymptotic bifurcation point of compact continuous operators in Menger PN-spaces are introduced. Some sufficient conditions for the existence of the bifurcation point and asymptotic bifurcation point are obtained. And the problems on the intrinsic value and intrinsic element of compact continuous operators are studied in Menger PN-spaces. A series of theorems on the existence of the intrinsic value and intrinsic element are obtained.

第三章,在概率赋范线性空间中提出非线性算子的歧点和渐近歧点的新概念,获得了非线性算子存在歧点和渐近歧点的充分条件;讨论了Menger概率赋范线性空间中非线性算子的固有值和固有元问题,得到了非线性算子存在固有值和固有元的一系列充分条件。

Equidistance point and difference theory in theory of function approximation are studied. Meanwhile, the relation among difference, difference quotient and derivate is revealed. By drawing Lagrange's and Cauchy's theorem of mean on difference and Taylor's formula into difference function, four theorems, such as Lagrange's theorem of mean on difference, are concluded in simple way. On the basis of these conclusions, the asymptotic property of middle point is studied, a series of new conclusions are drawn and the discussions on the asymptotic property of middle point in differential mid-value are summarized.

对函数逼近论中等距节点和差分理论进行了研究,揭示了差分、差商与导数之间的联系;将Lagrange中值定理、Cauchy中值定理、Taylor公式引入到差分函数中,简明地推导出Lagrange差分中值定理等4个定理,并在此基础上对"中间点"的渐近性进行了研究,得出了一系列"中间点"的渐近性的结果,概括了有关文献对微分中值公式的"中间点"的渐近性的讨论;给出的引理改进了函数逼近论的证明方法,精简了函数逼近论中的一些内容。

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