linear regression model 中文意思是什麼

linear regression model 解釋
線性回歸模型
  • linear : adj. 1. 線的，直線的。2. 長度的。3. 【數學】一次的，線性的。4. 【動、植】線狀的；細長的。5. 由線條組成的，以線條為主的，強調線條的。
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum

    該模型是在模糊線性回歸模型的基礎上推導出來的，它可以尋找最合適的線性函數使理想線性回歸中的線差和達到最小。
  2. Firstly established plural linear regression model to estimate the river runoff uninfluenced by human. compare with the record of hydrology examinition stations, then analyze the influence degree of human factors, namely the diference of the two river runoff account

    通過多元回歸方程預測自然狀態下陜甘寧地區河川年徑流量，對比實測徑流量來分析人為因素對徑流量的影響程度。
  3. Regarding these factors as independent variable and abnormal return ( ar ) on announcement day as dependent variable, we establish a linear regression model

    並選取適當的變量代表這些因素，以增發公告日股票的異常收益率為因變量，建立了多元線性回歸模型。
  4. On one hand, though there are lots of discussions on government debt in china nowadays, systemic studies on government debt issuance management are rather few. the paper makes a positive attempt in this aspect. on the other hand, some quantitative models applied in the paper, such as overlapping generation model on sustainable scale of government debt, linear regression model on current scale of government debt in china and game theoretical model on bond auction, contribute to clarification and efficiency of argumentation greatly

    通過以上各方面的討論，本文主要體現出兩個方面的特點：一方面，盡管近年來學術界有關國債問題的專題研究已有不少，但是對發行管理進行的系統考察至今尚不多見，本文則在這方面進行了有益的嘗試；另一方面，在研究方法上，本文力求通過模型方式和計量手段的運用使有關結論有一個更為堅實的基礎，例如：在討論適度國債規模存在機制時運用的世代交疊模型、在實證分析我國國債規模時運用的多元回歸模型以及在研究國債招標制度時運用的博弈論模型等，都是這種努力的體現。
  5. Descriptive study, one - factor analysis and log - linear regression model were applied in this study

    採用描述性分析、單因素分析與對數線性模型進行多因素分析。
  6. ( 2 ) when analyzing the testing method for the " day - of - week effect ", we considered the ols regression effect and the testing power will decrease because of the different variable in real securities data. we considered the identification. estimation and hypothesis testing of the linear regression model with one rank auto - regression ( ar ( 1 ) ) error ( 3 ) we considered how investors reasonably utilize the testing result of the " day - of - week effect " to direct the investment strategies after obtained it

    （ 2 ）在對「周內效應」的檢驗方法進行分析時，考慮到實際證券數據由於具有異方差性，使得利用ols進行回歸將導致回歸效果和檢驗的勢降低，我們對于具有一階自回歸誤差的線性回歸模型，仔細討論了該模型的識別、估計和對相應參數假設檢驗的方法。
  7. Fiscal transfer paying is one of the mainstay of finance relation among governments. lt can realize the state macro - monitor and guarantee the administration ability of different area and the balance of resident " standard of living. the main point to realize it rest with settle the ascertain of fiscal transfer paying sum. the traditional way is adopted linear model such as linear regression model. however, owinng to the nonlinear factors influence the fiscal transfer paying sum, there are a lot of problems whether the model or the algorithm self of the traditional way. this paper mainly research the algorithm for transfer paying and realize the model based on nonlinear algorithm. the applied means are as follows : 1, in the paper, ann is applied in the model for the first time

    實現財政轉移支付的關鍵在於解決財政轉移支付額的確定問題，傳統的方法都把該問題視為線性問題，大都採用諸如線性回歸模型等線性模型求解。然而實際上影響財政轉移支付額的因素是非線性的，傳統的測算方法無論在建立模型還是計算方面都存在諸多問題。本文以轉移支付測算為研究對象，實現了利用非線性演算法進行的轉移支付測算問題建模，應用的主要方法描述如下： 1 、本文首次將人工神經網路的方法引入到對財政轉移支付標準收支的測算中，利用其中的bp網路進行測算。
  8. This thesis mainly considers ordinary linear regression model and generalized one, that is, models and are involved. in term of the unknown parameter, it is necessary to study its estimation

    論文主要針對一般線性回歸模型和廣義線性回歸模型，即： ，和，其中，為向量，為設計矩陣，且，為向量，為向量，是已知的正定陣。
  9. The - weighted fuzzy linear regression model and its application to power demand forecasting

    加權模糊線性回歸模型及其在電力需求預測中的應用
  10. On the basis of collecting and processing many datum and materials. firstly. this paper analyzes main activities and cost constitutions of each stage of the life cycle of a fcs, and lay a foundation for later analysis and evaluation of system lcc. secondly, a basis method and usage range for estimating the system lcc are introduced. a multivariate linear regression model of pcs development cost and cost driven factor is built by use of the parametric method and supplies the base of cost estimation of newly - developed systems. thirdly, combine actual examples and make statistical analysis of lcc of a certain pcs developed by our institute, predict unhappened usage and service cost with grey prediction method, obtain proportion of each constitute to the lcc. forthly, according to actual conditions, use the fuzzy theory to overall evaluate efficacy of the fcs, fifthly, combimng our actual conditions, investigate specific measures of how to implement the life cycle cost management in our institute and put forward a new conception of developing web - based flight control system lcc management information system with pdm as the platform. at last, investigate important factors such as reliability and maintainability that may affect the life cycle cost of the fcs in detail, and put forward specific methods of lowering the life cycle cost of the fcs

    論文在收集和整理大量資料的基礎上，首先深入分析了飛控系統壽命周期各階段的主要活動以及各階段的費用構成，為以後系統壽命周期費用的分析和評價奠定了基礎；其次，介紹了壽命周期費用估算的基本方法和使用范圍，並利用參數法建立了飛控系統研製費用與費用驅動因子的多元線性回歸模型，為新研系統的費用估算提供了依據；第三，結合實例對我所研製的某型飛控系統的壽命周期費用進行統計分析，運用灰色預測方法對未發生的使用及維修費用進行預測，得出了該系統的壽命周期費用以及各組成部分所佔比例；第四，根據實際情況，首次運用模糊理論對飛控系統的系統效能進行了綜合評價，構造了飛控系統系統效能模糊綜合評價模型；第五，結合我所實際，探討了如何在本單位實施加強壽命周期費用管理的具體措施，提出以pdm為平臺，開發基於web的飛控系統lcc管理信息系統的新構思；最後，對影響飛控系統壽命周期費用的重要因素如可靠性和維修性等進行了詳細地研究，提出了降低飛控系統壽命周期費用的具體方法。
  11. A dynamic catalyst coking model and multi - variant linear regression model are used to estimate the parameters of catalyst coking model

    提出了採用動態結焦模型以及新鮮催化劑結焦速率的線性回歸模型來估計結焦模型參數的方法。
  12. An improved fuzzy regression model based on symmetric triangular fuzzy numbers, which is named - weighted fuzzy linear regression model in context, is proposed

    摘要建立了一種回歸系數為對稱三角模糊數的-加權模糊線性回歸模型，運用模型進行了電量需求預測。
  13. One of the important hypotheses of classical linear regression model is that the random disturbances have equal variance

    經典線性回歸模型的一個重要假設就是回歸方程的隨機擾動項u _ i ，具有相同的方差，也稱同方差性。
  14. Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors, 21 500hpa height predictors ) with over 0. 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field, and selecting the high relative principal components, at the same time, a new approach of constructing ann learning matrix is developed. predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples

    本文通過對廣西北部6月平均降水量（預報量）同北半球月平均500hpa高度場和北太平洋月平均海溫場進行相關普查，選取了前期36個同預報量相關顯著水平達到0 . 05以上的預報因子（ 15個海溫場預報因子， 21個高度場預報因子） ，並運用自然正交函數展開方法對這36個前期預報因子展開，取其中同預報量相關程度高的主成分，結合人工神經網路技術，提出了一種新的構造人工神經網路學習矩陣的方法，建立了一種新的短期氣候預測模型。
  15. Starting with the equivalence condition of admissibility, this paper discusses respectively the linear biased estimate of the regression coefficient of thee models : the g - m linear regression model, the multivariate linear regression and the mixed - effect coefficient linear model

    本文以可容許性的等價條件為起點，分別討論了g - m線性回歸模型、多元線性回歸模型和混合系數線性模型的回歸系數的一類線性有偏估計。
  16. In the first part, we established a linear regression model, which has the three accounting hypothesis, security market supervision policy, industry factors, etc as its independent variables, chooses the 631 listed companies in the shanghai a share market in 2001, as its target. spss is applied to the descriptive analysis and regression analysis. finally, we give the explanation with the combination of internal political and economic environment in the second part, we choose the " st " company as the sample and make tendency and comparison analysis of the sample companies while implementing the policies on impairment of assents within 5 years

    在實證研究部分，我們選取橫向和縱向兩個截面對上市公司選擇執行資產減值政策的影響因素進行分析，在橫向分析部分，首先建立了回歸模型，該模型將契約論的三大會計假設、證券市場監管政策、行業因素等作為自變量，選取《企業會計制度》開始執行的2001年度滬市a股符合樣本條件的631家上市公司作為研究對象，然後運用spss進行描述性分析和回歸分析，最後結合我國特殊的政治和經濟環境作出解釋。
  17. Using linear regression model, we also tested the relations between d ( declining degree of underpricing between ipos and seos ) and t ( time interval between ipos and seos ). contrary to our hypothesis, the data demonstrates that the correlation is weak

    此外，作為補充，本文研究了折價下降幅度和上市公司兩次發行時間間隔、公司高層管理人員變動之間的相關性，結果顯示相關性不明顯。
  18. This paper documents significant negative announcement effects of seasoned equity offerings in china for the period 1999 - 2002. then we examine the linear regression model. the multivariate regression results show growth opportunities, management holding stock proportion, circulating stock capital and stock market trend have significant positive effect on ar, and announcement year has significant negative effect on ar

    對本文模型進行回歸分析的結果顯示，我國上市公司的股權分裂對公告日異常收益率有一定的負面影響；上市公司成長性、高管持股比例、流通股本規模及大盤走勢與公告日異常收益率顯著正相關；公告年度與公告日異常收益率顯著負相關。
  19. Bayes interval estimation of linear regression model parameters

    線性回歸模型參數的貝葉斯區間估計
  20. On the basis of analyzing historical water consumption in shenzhen, hourly water demand, daily water demand and annual water demand are studied using non - linear regression model, time series model, artificial neural network, gray model and compounding model, etc. by anglicizing merits and demerits of every model in different forecasts, time series model is appropriate to hourly water demand forecast ; compound forecasting model of time series and regress analysis is appropriate to daily water demand forecast ; gray model and regress analysis model is appropriate to annual water demand forecast

    本文通過分析深圳特區用水量的變化規律，採用非線性回歸分析、時間序列、人工神經網路、灰色模型和組合預測模型分別對時需水量、日需水量、年需水量進行了研究。通過比較分析各種模型在不同預測類型中的優缺點，時需水量預測較適合採用時間序列模型；日需水量預測較適合採用時序?回歸分析組合預測模型；年需水量預測較適合灰色模型、回歸分析模型；提出了指導選擇城市需水量預測模型的方法。
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