kernel density 中文意思是什麼
kernel density
解釋
籽粒容量-
Sequence and large sample quality are posed. in our country or allien there are many experts who discusses some quanlity of na variable in great. for example, in documentation 6, there is a discussion about the consistency of density kernel estimation and many results have been g ained, but the density estimation f ( x ) is limited to the arrange of x [ a, 6 ] which limits the arrange of application. thus in this passage we call off this limitation and further discuss the density kernel estimation under na sample. consequently the counterpart results have been gained and the condition of result has been weaked. in the same time we discuss the density kernel estimation under pa sample and the counterpart result has been gained
序列密度函數估計及其大樣本性質的研究課題。國內外許多專家對na變量的各種性質進行了大量的討論，其中文獻[ 6 ]曾對na樣本下密度核估計的相合性進行了討論，並取得了一些結果，但該文將密度估計f （ x ）限制在x [ a ， b ]中進行討論，這局限了應用范圍。因此本文在取消這種限制條件下對na樣本的密度核估計進行了進一步的討論，得出了相應的結果，並使結論的條件得到弱化；同時對pa樣本下的密度估計也進行了相應的討論，取得了相應的結果。 -
One is the bss based on kernel density estimation ( kde ) and genetic algorithm ( ga ), the other is the blind deconvolution based on high order cross cumulants and ga. without nlf, the performance of separation in both algorithms is independent with the kurtosis of the sources
兩種演算法的實現無需引入非線性函數，因此都與源信號的峭度性質無關;另外，選取全局搜索的遺傳演算法進行尋優，避免了梯度法搜索的局部性，使得演算法均能收斂到問題的全局最優解。 -
If the covariance stationary processes are one dimension, for given data, covariance function and spectral density function can be estimated, and there is no need to select kernel function and its parameters
如果協方差平穩隨機過程的狀態是一維的，對給定的樣本點，給出了協方差函數的估計和其對應譜（密度）函數估計，而不必選擇核函數及其參數。 -
Because the return rate has many good characters such as the following, we estimate the return rate by use of the characters. theorem 1 [ 20 ] set kernel function k ( u ) and density function f ( x ) satisfy the following conditions
第三部分研究在收益率不服從正態分佈的情況下用核估計方法對股票的收益率密度做出估計，然後算出在期滿日時的股價，再用非參數估計方法對歐式看漲期權價值進行評估 -
This paper studies mainly the theories of the semi - parametric regression model : ( 1 ) under proper conditions, using random weighted way to the estimator of the error density f ( x ) of the semi - parametric regression model, this paper proved the strong and weak consistent and the asymptotic unbiased property of the weighted kernel estimation fn1 ( x ) of the f ( x )
本文對半參數回歸模型：主要做了以下三個方面的理論研究： （ 1 ）將隨機加權法應用到半參數回歸模型的誤差密度f （ x ）的估計當中去，在適當的條件下，證明了誤差密度的加權核估計（ ? ） _ （ n1 ） （ x ）的強相合性、弱相合性及漸近無偏性。 -
Moderate deviations for the kernel density estimators
核密度估計的中偏差 -
Methods non - parameter kernel density estimation method was adopted
方法採用非參數核密度估計推斷方法。 -
Compared with traditional pca - based methods which assumes that the data are independent and follow normal distribution, this kernel - density based method does n ' t require any assumption on data distribution
而傳統的基於主元分析的系統性能監控方法都是假定測量數據相互獨立且服從正態分佈的，採用核密度估計方法無需對數據的分佈作任何假定。 -
In last chapter, a new conception and model for var, based on prediction are brought forward. finally, a kind of new kernel density estimating function, adapting to financial time series is employed to extend time series kernel density estimating model
文中最後一部分，從風險價值預測的角度出發，建立了基於var預測的概念和模型，提出了一種適合估計金融時間序列分佈的核密度函數，並採用加權法推廣了時間序列核密度估計模型 -
Considering the fact that continuous process and batch process are the two important production modes in process industry, and each of them has its respective characteristic, our works are divided into two parts, those are, monitoring of continuous processes and of batch processes. the main contribution of this thesis is as follows, 1 multivariate kernel - density estimation method is used to calculate the distribution of data and assess the impact of parametric uncertainty on the monitoring performance
由於連續生產方式和間歇生產方式是流程工業中兩種重要的生產方式，它們具有各自不同的特點，因此，本文的工作分兩大部分，即連續工業過程的監控和間歇工業過程的監控，具體包括： （ 1 ）採用多變量核密度估計方法，研究了參數不確定條件下，過程數據的分佈及其對系統監控性能的影響。 -
Consistency of the density kernel estimator for negatively and positively associated samples
樣本下密度核估計的相合性 -
Kernel density estimation of species abundance distribution in rare and endangered castanopsis kawakamii natural forest
格氏栲天然林物種多度分佈的核估計研究 -
The general class of kernel density estimates for positive associated samples
樣本下一般形式的密度估計 -
As not to know the stock prices obey what distribution, we accord to historical data to estimate the distribution of the ultimate stock prices by kernel density estimation, then develop the theorems for options pricing, and price the option
本文研究股票價格不服從幾何布朗運動，即股票的對數收益率並不服從正態分佈時的歐式期權價值評估的非參數估計 -
The work in this thesis is based on three technologies of multivariable statistical process control ( mspc ), the principal component analysis ( pca ), the partial least squares ( pls ) and the kernel density estimate ( kde ). the work involves the following contents
基於多元統計過程式控制制方法中的主元分析法，偏最小二乘法和核函數分析法這三種技術，本課題主要研究了以下內容： 1 ）用面向對象的方法開發多元統計過程式控制制狀態監測應用系統。 -
This paper investigates the application of the multivariate statistical process monitoring and control technology, which employs both multiway principal component analysis ( mpca ) and kernel density estimation ( kde ), to real time status monitoring and fault diagnosis of batch production processes
本文主要研究了運用多向主元分析法和核函數法概率密度估計相結合的多元統計過程監控技術對間歇生產過程進行實時的狀態監測與故障診斷。 -
Research results from field experiments with yedan 14 ( table 2. ) suggested that density and ears play an decisive roles in yield formation, maize yield increased with density and ears but grains per ear and kernel weight reduced when density varied from 52500 to 75000 plants / ha
掖單14大田試驗研究結果（表2 ）指出密度和穗數是產量構成的決定性因素，玉米產量隨密度和穗數增加而增加，但穗粒數和粒重當密度由52 ， 500增加到75 ， 000株/公頃時都降低。
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