linear statistical model 中文意思是什麼
linear statistical model
解釋
線性統計模型-
Statistical diagnostics for generalized linear model
廣義線性模型的統計診斷問題 -
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。 -
First of all, by establishing the observation model of complex harmonic signal and complex linear chirp signal respectively under the co - jamming of additive and multiply noise, the paper constructed cyclic moment detectors of different orders, deduced snr expression of the detector through theoretic analysis, discussed the relation of detector performance and noise statistical characteristic. the curve of detection performance is obtained through monte carlo simulation test, proving the related conclusion derived
首先，論文分別以加性和乘性噪聲聯合干擾下的復諧波信號和復線性調頻信號為觀測模型，構造了基於不同階次的循環矩檢測統計量，從理論上推導出了檢測器的信噪比表達式，分析了檢測器性能與噪聲統計特性的關系，通過monte - carlo模擬試驗得到了檢測性能的曲線，驗證了推導的有關結論。 -
An artificial neural network （ ann ） model was developed and used in different water bodies to predict timing for environmental changes as well as for the dynamics of resources. the results show that the ann model is superior to classical statistical models ( csm ) and can be used as predictive tool for highly non - linear phenomena
用人工神經網路方法對不同水域、不同環境因子之間非線性和不確定性的復雜關系進行學習訓練並預測檢驗，結果表明:人工神經網路方法在模擬和預測方面均優于傳統的統計回歸模型，在資源與環境方面的應用是可行的，具有較強的模擬預測能力。 -
Panel data model is an important linear model in economics, finance, biology, medicines and other fields. in recent twenty years, statistical in - ferrence about this model attracts many statisticians. in this paper, we first generalize the latest development of parameter estimation in this field, then focus on parameter estimation in the panel model with individual effect and time effect. many articles researched the parameter estimation of the regression coefficents in the case that both individual effect and time effect are random, but in some conditions, it is more reasonable if we suppose either of them is fixed. this paper is based on this hypothesis to research the estimations of the coefficents. the variance - covariance matrix still include parameter of variance in this condition, so our purpose is to look for feasible estimations
Panel數據模型是一類具有重要應用的線性統計模型，它在經濟、金融、生物、醫學等領域都有廣泛的應用。近二十余年來，關于這種模型的統計推斷吸引了很多統計學家。本文首先概述了這一領域參數估計方面的最新發展，然後集中討論了既含有個體效應，又有時間效應的panel數據模型的參數估計。 -
During the data processing, we mainly used explorative factor analysis, multiple linear regression, and z statistical test to verify hypotheses in the model
在數據處理過程中，我們主要利用因子分析、多元回歸和z統計檢驗等方法對模型進行了實證檢驗。 -
In the first stage, p coefficient is computed with time serial method ; and in the second stage, as the regressions are cross section by nature, after the linear fitting of stock values on the market to the stock values being assessed, and after the statistical tests, the relations between them are analyzed with the method of gray - related - degree, besides, on the basis of choosing model parameter rationally, the suitability of dcf to chinese capital market is testified as well
本文實證研究採用了雙程回歸技術和灰色關聯度分析方法，第一程是用時間序列求系數；第二程回歸在性質上是橫截面的，通過對股權評估價值與股權市場價值的線性擬合，對其進行統計檢驗；最後，通過灰色關聯度分析方法，分析了二者的關聯關系，檢驗了在合理選擇模型參數的基礎上， dcf方法在我國資本市場上的適用性。 -
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
線性模型是很重要的一類統計模型，它包括線性回歸模型、方差分析模型、協方差分析模型和方差分量模型等等。 -
On one hand, use statistical index to explain the payment capability of house consumption. on the other hand, through extended linear expenditure system model to research different economic support ability of different consumption group. we can conclude the residents " house consumption have raised, but need further improvement
本文除進行定性分析外，還對北京市居民家庭的住房消費支付能力進行定量分析，通過對「住房支出比」 、 「房價收入比」等統計指標的分析，還利用計量經濟模型? ?擴展線性支出系統，對北京市居民家庭的住房消費能力進行深入研究。 -
Applying generalized gaussian distribution to statistical model of the alternating current coefficient of discrete cosine transform, an adaptive blind watermark detection algorithm is presented on the basis of sign detector and linear correlate detector and its probability efficiency is deduced
摘要根據數字圖像離散餘弦變換域交流系數的廣義高斯分佈模型，在符號檢測器和線性相關檢測器的基礎上，提出一種盲水印自調節的檢測演算法，並推導出該檢測器有較高的檢測效率。
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