nonparametric statistics 中文意思是什麼

nonparametric statistics 解釋
非參變量性統計
  • nonparametric : 非參數
  • statistics : n. 1. 統計學，統計法〈用作單數〉。2. 統計數字[資料]，統計表〈用作復數〉。
  1. An introduction to descriptive and inferential statistics, including measures of central tendency and dispersion, elementary probability, simple correlation and regression, tests of hypotheses, and nonparametric methods

    統計學為?集、整理、陳示、解釋資料，並可由樣本的統計量推論母體母數，俾能在不確定情況下，做成決策的科學方法。
  2. Since linear rank statistics has the most popularity in application in nonparametric statistics, this article fabricate the linear rank statistics based on depth function, and discussed its asymptotic property and application. particular result is as follows : 1

    由於線性秩統計量是非參數統計中應用最廣的一類統計量，所以本文構造了基於深度函數的線性秩統計量，並對其漸近性質和應用做了一些研究，具體結果如下： 1
  3. Nonparametric tests of the randmized block design and multiple comparisons in statistics soft wares

    統計軟體配伍組秩和檢驗及多重比較
  4. So many statistics scholars have studied it extensively and obtained many ideal results. semiparametric regression model yi ~ ( n ) = xi ~ ( n ) + g ( t ~ n _ i ) + _ i ~ ( n ), 1 i n, where g is an unknown function on a compact set a in r ~ p and is an unknown parameter, ( x _ 1 ~ ( n ), x _ 1 ~ ( n ) ) ~ t, ? ? x _ n ~ ( n ), t _ n ~ ( n ) ) ~ t are fixed design vectors and the radom er - rors _ i ~ ( n ) are assumed to be an l ~ q - mixingale sequences. fan [ 1 ] investigated nonparametric regression model

    由於半參數回歸模型的優點是集中了主要部分（即參數分量部分）的信息，因而它比傳統的線性模型或非參數回歸模型有更強的解釋能力，不少統計學者對其進行了深入的研究，同其它回歸模型一樣，它的大樣本性質始終是人們關注的熱點。
  5. Nonparametric model is widely used in the practical problems, the reason is that the form of the regression function in the nonparametric model is free, and the limits to the random variate ( x, y ) are fewer. in the past several decades, this model is studied carefully by the researchers of statistics, and many achievements are arrived in both theorial fields and in applicational fields

    非參數回歸模型，由於其回歸函數的形式可以任意，而且對隨機變量（ x ， y ）的分佈限制較少，因而在實際中有著廣泛的應用背景。幾十年來，統計工作者對這一模型進行了深入細致的研究。無論在理論上還是應用上，都取得了許多優秀成果。
  6. Thus occurred much trouble in the analysis of multi - dimensional data statistics. so it ' s a very important problem for statistician to develop the multi - dimensional nonparametric method

    因此，發展高維統計的非參數方法是統計學家們所關心的一個十分重要的問題。
  7. After analysed the performance of nonparametric detector particularly, three new fusion rules are proposed based on local statistics, their asymptotic relative efficiency is studied

    在詳細分析非參量檢測器的理論基礎上，提出了三種基於局部統計量的融合規則，分析了其漸進性能。
  8. There is a natural linear order relationship among the data of one - dimensional sample, so which can be ordered according to the size of the sample points, however, since there is no natural linear order relationship among data of multi - dimensional sample, it is impossible to gain multi - dimensional order statistics in accordance with the order of the size of sample, neither is it impossible to extend many useful methods for one - dimensional nonparametric oiatistics to those for high dimensional ones

    對於一維樣本，由於數據之間存在一種自然的線性序關系，故可按照樣本的大小排序，從而得到秩向量。但對于多維樣本，數據之間則不存在自然的線性序關系，無法按照樣本的大小排序而得到高維樣本的次序統計量並由此把一維非參數統計的許多有用的方法直接推廣到高維情形，使得對多元數據的統計分析十分麻煩。
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