逐步篩選因子 的英文怎麼說

中文拼音 [zhúshāixuǎnyīnzi]
逐步篩選因子 英文
stesizing factor
  • : 動詞1. (追趕) pursue; chase; run after 2. (驅逐) drive out; expel; banish 3. (挨著次序) one by one
  • : Ⅰ名詞1 (步度; 腳步) pace; step 2 (階段) stage; step 3 (地步; 境地) condition; situation; st...
  • : 名詞[書面語] (植物名) sedge
  • : Ⅰ動詞1. (挑選) select; choose; pick 2. (選舉) elect Ⅱ名詞(挑選出來編在一起的作品) selections; anthology
  • : Ⅰ動詞[書面語] (沿襲) follow; carry on Ⅱ介詞1 [書面語] (憑借; 根據) on the basis of; in accord...
  • : 子Ⅰ名詞1 (兒子) son 2 (人的通稱) person 3 (古代特指有學問的男人) ancient title of respect f...
  • 逐步 : 1 (一步一步地) step by step; progressively; gradually; proceed orderly 2 [數學] successive step...
  • 篩選 : dressing by screening; screen; preparation by screening; preparation; choose by means of a sift; ...
  1. By use of correlation analyzing of temperature in heilongjiang province and previous general circulation or surface temperature, provision predictors are chosen to develop a predictive relationship of temperature anomaly in january or july of heilongjiang province with the theory of screening regression

    通過對黑龍江氣溫與前期環流場和下墊面溫度的相關分析,取候,用回歸的原理進一,建立黑龍江1月、 7月月平均溫度距平的預報方程。
  2. Step sizing factor

    逐步篩選因子
  3. And forecast ability was compared between the models built by selecting factors as well as orthonormalization and the other models built by stepwise regression analysis directly. the comparative result was forecast ability of model by monadic linear regression analysis and nature orthonormalization function as well as stepwise regression was stronger than the models by direct stepwise regression analysis

    比較得出:通過一元一次線性回歸進行,並對其進行正交化分析,再進行回歸建立的預報模型比直接利用回歸分析建立的模型的預報功能強的多。
  4. This research established an estimating model of pinus massoniana stand volume with the elements as variates directly obtained from rs and the conditions of stand that were extracted from 130 samples of pinus massoniana stand from the fifth forest resource continuous investigation data in min - jiang watershed and flitered by the thrice standard deviation method and liner regression method and the correlation coefficient is 0. 735 the suitability and precision of the model were tested and regression analysised with data that were extracted from another 30 samples

    摘要從福建省第5次森林資源一類調查落在閩江流域的樣地中抽取馬尾松林樣地130個,以rs可提取及樣地林分立地條件為可變量,利用3倍標準差法進行異常數據的,對林分立地條件定性進行數量化處理,通過回歸構建閩江流域馬尾松林分蓄積量估測模型,研究結果所構建的蓄積量估測模型的相關系數為0 . 735 。
  5. The factors original types of bridge statistical model are studied. the statistic model is established. then the useless factors are filtered by recursive regression method and the best statistic model is established

    研究了橋梁監控統計模型的類型,並利用回歸分析法進行模型,建立統計模型的最優模型。
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