multiple statistical analysis 中文意思是什麼
multiple statistical analysis
解釋
多元統計分析-
We analyzed the data by applying analysis of variance ( av ), multiple stepwise regression analysis ( msra ), canonical correlation analysis ( cca ) and so on. additionally, new developing statistical method, linear structural relations ( l1srel ), was employed to throw light on the substantial acting mechanism
應用傳統的（協）方差分析、多元逐步回歸分析、主成分回歸分析、嶺回歸分析、判別分析和典型相關分析等統計方法對影響學習成績的因素進行分析，並採用新近發展的線性結構方程模型（ linearstructuralrelations ， lisrel ）分析影響學習成績的? ?各個因素並探討其影響機制。 -
To make up for the function insufficiency of the current cdr satellite network management system on statistical analysis and reporting, the system provides multiple - stripe statistical analysis report forms related to satellite telephone access success ratio, satellite telephone use rate of each local network, satellite telephone use rate of local inter - network etc. all those information is used to analyze the satellite telephone network operation status and provide reliable basis and instruction to the forthcoming expanding activity
彌補現有cdr衛星網管系統的統計分析及報表功能的不足，提供了用於統計衛星電話的接通率，各本地網衛星電話使用率，本地網間衛星電話使用率等多方面的統計分析報表。用於分析衛星電話網的運行狀況，為今後的衛星電話網路擴容建設等提供可靠的依據和指導。 -
Chapter three selects some economical index which represents the situation of china communications and transportation ' s development, for example, turnover of freight traffic, turnover of freight traffic and output of communications and transportation, uses statistical graphs, charts or tables, multiple regression, exploratory analysis method etc., and finds out the factors influencing china communications and transportation ' s development, based on the characteristics of china communications and transportation
第三章根據交通運輸業特點，選擇代表交通運輸業發展狀況的經濟指標貨物周轉量、客運周轉量以及交通運輸業的產值等指標，分別運用統計圖表、多元回歸、探索性分析等方法，以期找出我國交通運輸業發展的影響因素和發展趨勢。 -
Firstly, having analyzed the present research situation on agricultural climate resources by gis at home and abroad, this thesis illustrates the importance of establishing agricultural climate resources information system. secondly, basing on developmental and integrative environment of arc view gis software, as well as developmental languages ( avenue and vb ), we design agricultural climate resources information system in fujian province with friendly and practical graphic user interface, together with comparatively perfect functions. finally, supported by fjacris, based on fujian province fundamental geographic data and agricultural climate resources database on 71 weather stations, relied on mathematic analysis techniques ( such as multiple statistical analysis, fuzzy mathematics etc ), a group of models are established to reckon the agricultural climate resources on small grids 41 indexes of agricultural climate resources are reckoned to the small grids that are 0. 004 longitude multiplied by 0. 004 latitude
本文首先通過對國內外運用gis進行農業氣候資源研究的現狀的分析，闡明了建立農業氣候資源信息系統的重要意義：接著以arcviewgis為軟體開發集成環境，並以avenue和vb為開發語言，進行了福建省農業氣候資源信息系統的設計和開發，設計出友好、實用的用戶界面，開發出較為完善的系統功能；最後在該系統的支持下，以福建省基礎地理數據和71個氣象臺站的農業氣候資源數據庫為數據源，應用多元統計、模糊數學等數學分析技術，構建了農業氣候資源的小網格推算模型，將福建省農業氣候資源的41個有關指標推算至0 . 004經度0 . 004緯度的地表網格單元上，全面地揭示了全省農業氣候資源的空間分佈規律，並在此基礎上完成了比較細致、精確和可靠的農業氣候系統功能的模糊綜合評價，以及綜合農業氣候區劃和專題農業氣候區劃。 -
Based on ica post processing matched filter multi - user detection lets the output of traditional matched filter to initialize the ica iterations, not only the known spread information of interesting user is used to overcome the uncertainness of ica, but also the character of statistical independence is used. the simulation results show that it advances the ability of traditional detector when the signal - noise - ratio is large. keywords code division multiple access ; independent component analysis ; channel estimation ; matched filter ; blind multi - user detection
基於ica后處理的匹配濾波多用戶檢測是用傳統的檢測器的輸出來初始化ica的迭代，它不但充分利用多用戶信號的已知信息，克服了ica的不確定性問題，同時也充分利用了多用戶信號的統計獨立性，模擬實驗結果證明這種多用戶檢測演算法在高信噪的情況下，誤碼性能改善隨著信噪比的提高不斷增加。 -
Based on the co - linearity analysis of runoff and precipitation among different hydrological stations and various kinds of water and soil conservation measures, a statistical hydrological model of precipitation - soil and water conservation - runoff for the river basin is established by applying multiple regression method to analyze indicators and runoff data
摘要本文在變量共線性分析基礎上，提出了流域降水量標度和水土保持標度及其計算方法，建立了流域降水水土保持徑流統計模型，該模型不僅能分離水土保持措施對河川徑流量影響程度，而且還可分析降水及水土保持對流域徑流量變化的影響。 -
The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data ( also named as compositional data or data of constant sum ) it is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by " closure " and the statistical distribution of the data is not normal because of its constant row sum, which resulted in great difficulties in analyzing the data with traditional multiple linear statistical methods such as principal component analysis, factor analysis, cluster analysis and canonical correlation analysis
摘要長期以來，對于多維基因多態性數據的多元統計分析，如計算遺傳距離時所用的聚類分析、分析群體遺傳結構時所用的主成分分析、因子分析和典型相關分析等，一直應用為無約束條件數據而設計的經典多元線性分析方法，並沒有注意基因多態性數據的「閉合效應」所帶來的問題。 -
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。 -
The authors discuss the statistical distributions of multiple - input multiple - output mimo channels over flat rayleigh fading via the order statistics analysis. simplified expressions are derived for expectations of the vector energies when the column or row number is equal to 1 and 2, which is followed by the upper and lower bounds when the antenna number at one side approaches infinite
以順序統計量分析rayleigh平坦衰落mimo通道矩陣各向量能量的分佈特徵，給出其各階矩公式以及列行數為1和2時行列向量的能量期望值的簡潔表達式，並由此推導出通道矩陣的單邊維數趨于無窮時行和列向量能量期望值的上下界。 -
Based on the theory of compositional data analysis proposed by aitchison in 1982, a multiple nonlinear statistical method originating from the " logratios " approach to the statistical analysis of compositional data is put forward in this paper
從分析基因多態性數據的分佈和結構特徵入手，文中指出了基因多態性分佈具有「閉合數據」的特點，分析了由於「閉合效應」的影響，經典多元線性方法用於群體遺傳結構分析所面臨的困難。
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