本文研究了连续分布函数变点的非参数统计推断问题。
In this paper, we study the nonparametric statistical inference for one distribution change point.
均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.
本文应用非参数统计理论，提出了一种新的分类判别方法，用于测井解释中的岩性划分。
A new recognition method based on the theory of non-parameter statistics is used to lithology identification in log interpretation.
指示克立格是一种非参数统计方法，它能在不舍弃特异值的条件下进行有效的空间估计。
Indicator Kriging is a nonparametric statistical method which can make spatial estimation without abandoning peculiar value of reservoir parameters.
在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。
The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.
基于模糊集的嵌入定理，对非精确数据的分布提出一种统计参数族，并给出相应的点估计方法。
Based on the embedding theorem of fuzzy sets, we consider a sort of parameter family for the distribution of imprecise data and propose the corresponding point estimation approach.
然而，对各种具体的相依数据的统计模型(如相依数据的非线性回归和相依数据的非参数回归模型)的研究还不够充分和不够完备。
So far, however, the theory that studies specially the statistical models with dependent data such as nonlinear regression and nonparametric regression models is not very satisfactory.
附加系统参数的混合平差模型中 ，同时含有非随机系统参数和具有验前统计性质的随机系统参数。
The mixing adjustment model with systematical parameters is an adjustment model including both non random systematical parameters and random systematical parameters.
附加系统参数的混合平差模型中 ，同时含有非随机系统参数和具有验前统计性质的随机系统参数。
The mixing adjustment model with systematical parameters is an adjustment model including both non random systematical parameters and random systematical parameters.
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