- 更多网络例句与非参数估计相关的网络例句 [注：此内容来源于网络，仅供参考]
-
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。
-
When the underlying error term for tobit model is known to be normally distributed and homoskedasticity, maximum likelihood estimation is consistent and asymptotically normally distributed.
半参数估计是一种参数和非参数估计的混合，比相应的参数模型更能一致的估计参数，而且比非参数模型估计更精确，其优点是无需假定误差项分布，所以它对非正态和异方差是稳健的。
-
In particular, for recurrent event data, we proposed a novel nonparametric estimator of the survival function and obtained an efficient estimator of the expected total number of events for counting processes. Also we established asymptotic properties of these estimators and investigated nonparametric estimation of survival functions, density functions and hazard functions under various types of incomplete data.
在重复事件发生的情况下，创新地提出了一种生存函数的非参数估计，获得了计数过程中预期事件总数的估计以及这些估计的大样本性质，并在其他各种不完全数据下对生存函数，概率密度和失效率函数等非参数估计进行了深刻研究。
-
Rosenblatt and Nearest neighbors estimates are the nonparametric estimation of the probability density function.
Rosenblatt估计与最近邻估计是概率密度的两种非参数估计方法。
-
In Chapter 6, different from the traditional adaptive control that mainly deals with unknown parameters, nonparametric adaptive control for unknown structures is introduced by using the nonparametric estimation methods developed in Statistics.
在第6章，与传统的主要对付未知参数的适应控制不同，引进针对未知结构的非参数适应控制，其利用了统计学中发展起来的非参数估计方法。
-
Standard nonparametric tests and confidence intervals for continuous and categorical data; nonparametric estimation of quantiles; robust estimation of location and scale parameters.
非参数和稳健方法：连续和类别数据的标准非参数检验和置信区间，分位数的非参数估计，阶和位置参数的稳健估计，传统方法的效果比较。
-
In ChapterⅠ, we first define the connotation of bank efficiency, then emphasize the two major measuring methods—Data Envelopment Approach of nonparametric estimation and Stochastic Frontier Analysis of parametric estimation,which are used extensively in this field , and the ways of defining the put-in and put- out indexes for the efficiency measurement models.
正文的第一部分首先对银行效率的内涵进行了界定，然后重点介绍了国内外学术界应用较为广泛的效率测度理论与方法(参数估计的DEA方法与非参数估计的SFA方法)和效率测度模型中投入与产出变量的界定方法。
-
In this chapter, not only Extensed ACD Model, which took higher-order moments、 strict stationarity、 geometric ergodicity and a-mixing property with exponential decay as its sufficient and included most of the present forms of ACD Models was expounded, Box-Cox transformation was carried out by figurate the parameter of ?
尽管关于ACD的实证研究已经十分丰富，却很少有人把注意力放在条件期间模型设定的测试上，本章探讨了关于ACD模型统计性质研究的最新成果，并研究采用两步法来测试条件期间模型的误差项的分布，第一步包括通过QML估计条件期间过程，以获得误差的一致估计；第二步衡量基准密度的参数和非参数估计与残差的风险率函数之间的紧密度。
- 更多网络解释与非参数估计相关的网络解释 [注：此内容来源于网络，仅供参考]
-
nonparametric confidence region：非参数置信区域
nonorthogonal factor 非正交因子 | nonparametric confidence region 非参数置信区域 | nonparametric estimation 非参数估计
-
Explained variable：被解释变量
回归分析(regression analysis)通过观察数据确定存在于被解释变量(explained variable)和解释变量(explanatory variable)之间的定量表达式,即回归模型的具体函数形式与模型参数的估计值,是研究变量之间非确定性相互依赖关系的经典方法之一.
-
Explanatory variable：解释变量
回归分析(regression analysis)通过观察数据确定存在于被解释变量(explained variable)和解释变量(explanatory variable)之间的定量表达式,即回归模型的具体函数形式与模型参数的估计值,是研究变量之间非确定性相互依赖关系的经典方法之一.
-
nonparametric estimation：非参数估计
nonparametric confidence region 非参数置信区域 | nonparametric estimation 非参数估计 | nonparametric method 非参数法
-
nonparametric Bayesian estimation：非参数贝叶斯估计
nonpageable partition 非可分页面部分,不可调页分区 | nonparametric Bayesian estimation 非参数贝叶斯估计 | nonparametric comparison 非参数比较
-
parametric hypothesis：参数估计
upper confidence limit 置信上限 | parametric hypothesis 参数估计 | non-parametric hypothesis 非参数估计
-
non?parametric hypothesis：非参数估计
parametric hypothesis 参数估计 | non-parametric hypothesis 非参数估计 | alternative hypothesis 备责假设
-
probability sampling：機率抽樣
即衡量估计值与母体参数离散的程度.估计的标准误越小,代表样本的精准程度越高.抽样首先必须考虑如何克服系统变异,其次期望能产生最小的估计的标准误.抽样的选择可依据机率型或非机率型的基础.机率抽样(probability sampling)是利用随机选择的概念,
-
Conventional enteroclysis：小肠插管造影
非参数化双谱估计:conventional Bispectrum | 小肠插管造影:Conventional enteroclysis | 概念隐喻理论:conventional metaphor
-
confidence intervals：信赖区间
此涉及信赖区间(confidence intervals)的估计步骤. 信赖区间是估计在一个范围内的数值,而非单一数值. 如果您报告说大约有「39%到45%的选民」会投给某人,就是一种区间估计之例子. 点估计:以一组样本之样本统计量;如样本平均数、样本变异数、估计全部母体的母体参数;