prior statistic 中文意思是什麼
prior statistic
解釋
先驗統計量-
Adopting the actual county - grade database of land use firstly founded in china, combining with the comprehensive influential factors of land use change, using the correlative statistic software and the mathematic analytical methods ( principal component analysis, gray relating analysis, multivariate time series markov chain analysis, multivariate regression analysis, gm ( 1, 1 ) gray model, gray series gm ( 1, n ) model methods etc ), this paper analyses the dynamic change of land use and driving force in jiang ' an county qualitatively and quantitatively. the results indicate : 1 the land resource per capita and the area of single - land - use type in jiang ' an county are not prior to other places in yibing city or sichuan province. however, the terrain is dominant in choosing the way of land use
本文採用全國首批建立的「縣級土地利用現狀數據庫」的基礎數據，結合影響土地利用變化的經濟、社會、環境等綜合因素，採用相關分析軟體（ dps 、 spss ）和數學分析方法（主成分分析、灰色關聯度分析、多元回歸分析、多元時空序列馬爾柯夫鏈分析、 gm （ 1 ， 1 ）預測模型分析、灰色序列gm （ 1 ， n ）模型分析等方法） ，對江安縣土地利用變化及其驅動力進行定性、定量研究，研究結果表明： 1江安縣人均總的土地資源數量和單一土地利用類型的數量在宜賓或四川省區域內均無優勢；地形對土地利用方式的選擇起著主導作用；土地利用變化的總趨勢是：耕地、林地、交通用地和水域面積不斷減少，居民點及工礦用地和未利用地面積不斷增加；景觀多樣性指數呈現「 」趨勢。 -
In the second chapter, we explicate the theoretical knowledge, bayes statistic approach, which be applied in the paper, we show the definition of the prior distribution and how to select the prior information, we show the relation of prior distribution, conditional distribution and posterior distribution, we also show statistical inference approach and the key of how to use bayes statistic approach
第二部分內容是本文應用理論知識的簡要闡述，介紹了貝葉斯統計方法的理論，分別說明了先驗信息的定義及如何獲取，后驗分佈、條件分佈和先驗分佈三者關系，統計推斷方法及貝葉斯統計方法應用的關鍵。第三部分內容是對坦克射擊學中外彈道學的修正理論作了簡要的介紹。 -
Kde is a non - parametric method which is capable of extracting the population ' s probability density function ( pdf ) based on data sample only without any a prior knowledge about the statistic properties of the data regime. in this thesis, it is conducted the implementation of the kde for monitoring the performance of batch production processes
用核函數法概率密度估計對間歇生產過程進行實時狀態監測的主要優點是它屬于非參數法概率密度估計的一種，不需要數據總體的任何先驗知識或是假設而直接基於實測數據樣本求出總體的概率分佈密度函數，擺脫了對不可靠的先驗知識的依賴。 -
Secondly, revise factor coefficient with probability distribution, which given by experienced experts. thirdly, use bayes statistic deducing method to bind together the income rate of prior distribution and sample in formation, which makes forecast stocks in shenzhen stock market as samples. work out the series of weakly income rate
（ 2 ）對多元回歸的因子模型的各因子權重重做修正，將一些對金融市場有較透徹了解和豐富經驗的專家提供的信息引入，作出因子系數的概率分佈（並非隨意的主觀臆造） ，對模型的結果加以修正，以便提高模型的準確度。 -
For the frontal upright faces in gray images, a knowledge - based face detection method is proposed. a knowledge base is established according to prior knowledge of faces. the integral image method is used to calculate sub - block ' s statistic values and the computation burden is reduced significantly
針對灰度圖像，提出一種基於知識的人臉檢測方法，根據人臉檢測先驗知識，在傳統的馬賽克方法基礎上，建立了人臉檢測知識庫，採用積分圖方法計運算元塊的統計量，從而顯著地提高了檢測速度。
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