multiple correlation analysis 中文意思是什麼

multiple correlation analysis 解釋
多重相關分析
  • multiple : adj 1 多重的；復合的 復式的 多數的 多樣的。2 倍數的 倍。3 【電學】並聯的；多路的 復接的。4 【植物...
  • correlation : n. 相互關系，相關（性）；對比；交互作用；【數學】對射，異射。 correlation index 關聯指數。 correlation mineral 對比礦物。
  • analysis : n. （pl. -ses ）1. 分解，分析；【數學】解析。2. 梗概，要略。3. 〈美國〉用精神分析法治療（＝ psychoanalysis）。
  1. Three evaluation methods for the nonrandomized precipitation enhancement operation effects have been developed based on the regional rainfall control and meteorologit cal covariable correlation : dopple ratio analysis evaluation method using regional rainfall ten - dency control for single cloud seeding operation case ; regression analysis evaluation effects on the bases of regional correlation and developing tendency of rainfall ; and multiple regression analysis with meteorological and physical covariables

    本文根據區域趨勢控制和氣象-物理協變量相關設計了三套非隨機化人工增雨作業效果評估方案：個例作業區域趨勢對比雙比分析評估方案、區域趨勢相關回歸分析評估方案和氣象-物理協變量多元回歸分析評估方案。
  2. Then, six evaluation methods ( double ratio analysis evaluation method using regional rainfall tendency control for single cloud seeding operation case, regression analysis evaluation effects on the bases of regional correlation and developing tendency of rainfall, multiple regression analysis evaluation effects on the bases of regional developing tendency of rainfall, cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as meteorological covariates, cluster - analysis - based floating control historical regression method with uniform precipitation used as meteorological covariate, and float ing control historical regression method ) were compared and analyzed with the case of the cloud seeding operation on 5 april 2002 in henan province

    然後，以河南省2002年4月5日飛機增雨作業為個例，對作業區域趨勢對比雙比分析評估方案、區域趨勢相關回歸分析方案、區域趨勢多元回歸分析方案、以降水量為協變量的ca - fcm方法、以降水量和整層大氣可降水量為協變量的ca - fcm方法和fcm方法6種評價方案進行分析比較。
  3. 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。
  4. Genetic correlation analysis of yield and quality characters of rice oryza sativa l. in multiple environments

    多環境下水稻產量及品質性狀的遺傳相關分析
  5. To probe into this correlation, the death rate per hundred thousand people and 14 indicators of economic and social development were studied in the selected 27 sample countries employing multiple regression analysis, through which a multiple regression model was established to relate the indicator of the death rate per hundred thousand people at work places to economic and social indicators of development, and the economic and social factors with an impact on work safety analyzed

    為了研究安全生產與經濟社會發展的關系，選擇了其中27個樣本國家的10萬人死亡率和14個經濟社會發展指標，運用多元回歸分析方法，建立了10萬人死亡率指標與經濟社會指標之間的多元回歸模型，分析影響安全生產狀況的經濟社會因素。
  6. The collected data were analyzed by descriptive statistic, one - way anova, pearson product - moment correlation, stepwise multiple regression analysis

    所得資料分別以描述統計、單因子變異數分析、積差相關與多元?歸進行分析。
  7. Thirdly, based on correlation and multiple regression analysis, the thesis employs 165 listed companies in service industry, studies empirically inner influential factors of capital structure. it ' s concluded that leverage increases with rate of sales growth ; decreases with profitability, tobin ' q and non - debt tax shields ; and there is no significant correlation between firms " size, real tax, assets collateral value, ownership structure and leverage

    對我國服務業165家上市公司2001 - 2002年末財務數據進行相關性和多元回歸分析，得出，企業杠桿和主營業務收入增長率顯著正相關；和托賓指數、盈利能力、非負債稅盾顯著負相關；和企業規模、實際稅率、資產擔保價值、股權結構沒有顯著影響。
  8. Correlation analysis of large - diameter measurement based on multiple rolling - wheel method

    多滾輪法大軸徑測量的相關性分析
  9. The one - way anova analysis and correlation analysis show that the factors such as country or town, family structure, family economic level, mother ' s education, mother ' s occupation, father ' s warmth and empathic relationship, mother ' s warmth and empathic relationship, mother ' s over - protection and over - interference and family communication have notable correlations with the self - efficacy of middle school students. multiple linear regression analysis shows that some external factors including mother ' s occupation, family structure and family economic level, some internal factors such as mother ' s warmth and empathic relationship, mother ' s severe punishment and family communication have notable influence on middle school students " self - efficacy. and family economic level may also influence self - efficacy by influencing mother ' s parenting style and family communication

    單因素方差分析和相關分析表明，來自農村城市，家庭結構，家庭經濟狀況，母親文化程度，母親職業，父親溫暖理解、母親溫暖理解、母親過干涉過保護，家庭溝通等都與中學生自我效能感有顯著聯系；多因素逐步回歸分析表明，母親職業、家庭結構、家庭經濟狀況等外環境因素以及母親溫暖理解、母親懲罰嚴厲，家庭溝通等家庭內環境因素對中學生自我效能感有顯著的預測作用；其中家庭經濟狀況還可以通過對母親教養方式和家庭溝通的影響間接影響中學生自我效能感。
  10. The independent variables of multiple regressive model are decided by gray correlation analysis, which make multiple regressive model more unfeignedly reflect the truth of future and prediction accuracy improved

    以灰色關聯分析法確定進入回歸模型的自變量，使回歸模型盡可能真實反映系統未來預測的實際情況，提高預測精度。
  11. The second section is the tennessee self - concept scale. data were analyzed in correlation analysis, multiple - regression analysis and path analysis. the results indicated as follows

    所得資料經由spssforwindows統計軟體進行統計分析討論，研究結果顯示：一、非獨生子女自我概念總平均值高於獨生子女自我概念總平均值。
  12. 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。
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