regression technique中文是什么意思

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中文翻譯
造句

回歸技術

regression n. 1.復歸，回歸。 2.退步，退化。 3.【天文學】 ...
technique n. 1.(專門)技術；(藝術上的)技巧，技能。 2.手 ...
correlation and regression technique 相關與回歸技術
linear regression technique 線性回歸技術
multiple regression technique 多元回歸方法; 多重回歸法
regression n. 1.復歸，回歸。 2.退步，退化。 3.【天文學】退行。 adj. -sive ,-sively adv.
technique n. 1.(專門)技術；(藝術上的)技巧，技能。 2.手法〔如畫法，演奏法等〕。 3.方法。 advanced cinematic technique 高級電影技巧。 a newly-developed technique 一項新發展的技能。 a statistic technique 一種統計方法。
adaptive regression 適應退化; 適應消退
age regression 返童記憶; 返童現象
analysis of regression 回歸分析
antitonic regression 反序回歸
atel regression 阿蒂爾海退
auxiliary regression 輔助回歸
bayesian regression 貝葉斯回歸
biologic regression 生物學衰退
classic regression 古典回歸
classical regression 古典回歸
coefficient of regression 回歸系數
complete regression 完全消退
cox regression cox回歸
curve of regression 回歸線
curvilinear regression 曲線回歸
custatic regression 海退變化
degenerate regression 退化回歸
dummy regression 虛擬回歸

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例句與用法

The determinants and productivity growth are analyzed by using regression techniques for limited dependent variable models with random effects
然后，運用虛擬因變量方法分析影響全要素生產率變化的具體因素。
The safe selective regression technique not only guarantees the quality of the project but also reduces the cost and the regression test suite
該技術在保證軟件質量的基礎上有效地降低了測試花銷，減小了回歸測試用例集的規模。
This paper discusses the modem regression techniques used for ordinal data analysis and how to apply them into solving an important sampling problem in consumer confidence index survey
摘要本文討論了對定序變量進行回歸的技術，并探討了如何用其解決消費者信心指數調查中抽樣的重要問題。
Then it gives some advices about raising the tfp . the dissertation ' s main contribution lies in using malmquist - dea method and regression techniques for limited dependent variable models with random effects
本論文的主要貢獻在于把擴展的malmqust dea方法引入交通運輸業并運用虛擬因變量回歸模型考察全要素生產率變化的影響因素。
At the same time , the method of creating the test cases of the multilayer functional model is also mentioned . the characteristics and disadvantages of some regression testing techniques are discussed , on which we bring out the safe selective regression technique
在分析并討論了現有軟件回歸測試技術特點和存在的問題的基礎上，提出了基于多層次功能模型的安全選擇回歸測試技術。
The safe selective regression technique based on multilayer functional model was carried out in the project of the china union pay system integration te - sting - the switch subsystem functional testing . it is indicated that the technique is flexible , effective and practicable
最后本文結合中國銀聯信息處理中心系統集成測試-轉接子系統功能測試測試實例，說明該技術是一項靈活有效并且十分實用的回歸測試技術。
Global motion can be modeled by a few parameters will be stated in chapter 2 . in chapter two are given the system structure and key technologies of global estimation and compensation , describing several possible details of each key technology . global motion parameters estimated using regression technique which first estimate the local motion and then uses the local information to find the global motion that minimize the least square error
并重點研究了一種基于回歸分析的圖像全局運動估計與補償技術,它首先利用光流場法估計局部圖像背景點的速度場,然后利用魯棒的疊代排除法估計圖像傳感器的全局運動模型參數,再利用估計出來的全局運動參數對圖像進行雙線性內插運動補償。
Today , the third party of software testing is taking part in testing process . as the functional testing is very important for the third part of software testing , and the test for relationship between operations has attached importance , it is practical to investigate the regression technique based on function and operation specifications
現階段，軟件測試第三方逐漸介入到軟件測試過程中，功能測試是其中一項重要內容，而且對業務流程間聯系的測試漸漸受到重視，所以基于功能的、同時考慮業務需求的回歸測試技術研究具有重要的現實意義。
Up to now , there are many software regression testing techniques , such as retest all regression technique , random select regression technique , minimization regression technique , data flow regression technique , safe regression technique etc . . however , all these techniques are code - based
到目前為止，已經有很多軟件回歸測試技術，其中具有代表性的幾種技術是全部回歸測試技術，隨機選擇回歸測試技術，最小化回歸測試技術，數據流回歸測試技術，安全回歸測試技術等。
Evidence suggests that the prognostic ability of the new model with high stability , when hidden nodes changing nearby input nodes and training times changing at the certain extent , is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information , properly utilizing the ability of ann self - adaptive learning and nonlinear mapping . but the linear regression technique only selects several predictors by the f value , many predictors information with high relative coefficients is not included . so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields
進一步深入分析研究發現，本文提出的這種基于主成分的神經網絡預報模型，預報精度明顯高于傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，并有效地利用了人工神經網絡方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，并且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其余預報因子的預報信息被舍棄。

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