均值標準誤差 的英文怎麼說

中文拼音 [jūnzhíbiāozhǔnwùchā]
均值標準誤差 英文
standard error of mean
  • 均 : Ⅰ形容詞（均勻） equal; even Ⅱ副詞（都; 全） without exception; all
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 準 : Ⅰ名詞1 （標準） standard; guideline; criterion; norm 2 （目標） aim; target Ⅱ動詞1 （依據; 依照）...
  • 誤 : Ⅰ名詞（錯誤） mistake; error Ⅱ動詞1 （弄錯） mistake; misunderstand 2 （耽誤） miss 3 （使受損害...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 均值 : [數學] mean value
  • 標準 : （衡量事物的準則; 榜樣; 規范） standard; criterion; benchmark; pip; rule; ètalon （衡器）; merits
  • 誤差 : error
  1. We shall use the standard error of estimate as a tool in the same way that we can use the standard deviation.

    同標準差一樣，應該把估計值平均誤差當作一個工具。
  2. The device turns round at the range of 360, and locomotive block moves in linear guide in every unit zone. so optical fiber can arrive everywhere in focal plane. experiment result elucidation : the standard deviation of repeat error and positioning error less than 40 microns, the positioning precision of this system can reach demand

    用7根單元機構模擬4000根單元的相互關系，實驗結果表明：機構的重復性誤差和目標點定位誤差的均方根值均在定位精度要求范圍之內，能夠滿足望遠鏡快速、準確的定位要求。
  3. The new ways that solve multiple objectives decision making under risk into probability permanent type : decision making diagram method, matrix analysis method, multiple objectives markov method, the shortest distance method, successive type variation multiple objectives decision making under risk method and fuzzy analysis decision making method. 3. the new modes that solve multiple objectives decision making under risk into probability interval type and uncharted type : weighted method and sorting method 4 the new repent average value criterion that handle multiple objectives decision making under risk into probability uncharted type and generalizing the criterions that have been used into one objective decision making under probability into uncharted type to multiple objectives decision making under probability into uncharted type. 5. giving the error analyses method and decision result regulating method that been used into multiple objectives decision making under risk

    2 、探討了『決策圖法』 、 『矩陣法』 、 『多目標馬爾科夫法』 、 『最小距離法』 、 『連續型變量的多目標風險型決策法』和『模糊分析決策法』等解決概率固定型的多目標風險型決策的新方法。 3 、探討了『加權法』 、 『排序法』兩種解決概率區間型和未知型的多目標風險型決策的方法； 4 、在概率未知型的多目標風險型決策中改進了『後悔值準則』 ，提出了『後悔均值準則』 ；並將單目標概率未知型風險型決策的準則推廣運用到多目標概率未知型的風險型決策中去； 5 、探討了多目標風險型決策方法誤差分析及決策結果值調整的方法。
  4. During the course of the research, the criterions of the interpolation effect are mean error ( me ), mean absolute error ( mae ), root mean squared interpolation error ( rmse ) and the difference of mean square deviation between the measured and the estimated surface air temperature. the conclusions are as follows : ( 1 ) by contrasting the gaussian weighted model associated with the error modification with the gaussian weighted model, the error modification is proved to considerably ameliorate the precision of spatial interpolation ; ( 2 ) on the base of the gaussian weighted model, taking altitudinal effect into account can reflect the trend in which temperature changes according to the topographic altitude and may ameliorate the precision of spatial interpolation correspondingly and apparently, which indicates that topographical effect on the preciseness of spatial interpolation can not be disregarded in terms of the region with complicated topography ; ( 3 ) the map of daily surface air temperature distribution, using the modified gaussian weighted model a and b, can accurately reflect the temperature - changing - with - topographical - altitude trend. among them, the better is the model a, whose me is below 0. 03 ?

    在此過程中，採用平均誤差（ me ） ，平均絕對誤差（ mae ） ，插值平均誤差平方的平方根（ rootmeansquaredinterpolationerror ，簡稱rmsie ） ，插值前後測站要素值的均方差（ meansquaredeviation ，簡稱msd ）差值作為判定插值效果的標準，得出如下結論：通過高斯權重法與結合逐步訂正的高斯權重法的對比，說明結合逐步訂正方案的高斯權重法可大大提高地面日氣溫的插值精度；在高斯權重法中加入海拔影響項可以反映出溫度隨地形高度的變化趨勢，同時也能較大地提高地面日氣溫的空間插值精度，說明在地形復雜的區域，地形影響在插值精度中是不可忽略的；對于高斯權重法的兩種改進方案得到的地面日氣溫分布圖都能很好地反映出表面大氣氣溫隨地形高度的變化趨勢。
  5. We choose the forest appearance tidiness, representative stands serving as standard plots, 40 stands were set up at qinling, hanzhong, huanghong in shaanxi respectively, measure every tree in the stands, measure the actual increase by the dominance tree, the time series model of individual age and diameter of quercus variabilis was established according to the actual diameter of quercus variabilis population by the fluctuant time series, the comparison of simulation and reality value of the every stand of quercus variabilis population diameter increase through the four models, the average simulation difference within 1. 5 %, the accuracy is 97. 8 % the simulation effect is better

    在陜西的秦嶺、漢中、黃龍地區選擇林相整齊、有代表性的地段作為標準地，設置樣方40個，對各樣方內的林木進行每木檢尺，通過優勢木解析的方法，測得栓皮櫟種群胸徑的實際生長量，運用起伏型時間序列分析，建立了栓皮櫟種群個體年齡與胸徑生長的時間序列模型，四個模型所得的各個樣地栓皮櫟胸徑生長的模擬值與實際值進行比較，其模擬平均誤差都在1 . 5 %以內，平均精度達到97 . 8 % ，模擬效果較好。
  6. With process data of blast furnace no. 1 in tianjin iron plant, the parameters, ru and sita, of model have been optimized based on criteria of predictability, hit ratio, direction hit ratio and mean sum of square error according to each variable respectively

    以可預測率、預測命中率、趨勢預測命中率及平均誤差平方和為評價標準，確定了各影響因素的警戒參數ru和濾波參數sita的優化值范圍。
  7. It is found that the fitting accuracy is higher and the mean relative error between fitted and standard value is less than 0. 3 %

    該方法的擬合精度較高，擬合值與輻射模式標準值的平均相對誤差在0 . 3 %以下。
  8. Aees employs the multi - staged digital filter algorithm to reduce random error. meanwile, the system correct zero deviation through linear opreation. the instrument, from hardware aspect increases the feature of anti - interference by the way of reasonable layout, sepration of digital and analogue

    系統採用了中值濾波和滑動平均濾波相結合的多級數字濾波演算法來減小隨機誤差，並以精密基準電壓作為比較信號的輸入，由智能系統通過線性運算，實時地修正、校準測量數據，減小系統的零漂，實現自動定標並提高測量的精度。
  9. Provide automatic test function of fiber diameter, directly observe fiber configuration on screen, and display the actual diameter of all fiber on - time. fast test speed, simple operation, and reduced personal error. automatically compute mean diameter, coefficient of variation and standard deviation of the tested fiber, the tested date can be printed out by excel

    提供了纖維直徑自動測量功能，可直接在顯示器上觀察纖維形態，實時顯示每根纖維的實測直徑；測量速度快，操作簡便，減少了人為誤差；可自動計算已測纖維的直徑平均值、變異系統和標準差，測試數據可以excel報表形式列印輸出。
  10. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後，研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論，證明了模型系數的后驗分佈為多元t分佈，模型誤差項方差的后驗估計為逆gamma分佈；根據多元t分佈和f分佈之間的關系，構造了模型系數線性假設檢驗的貝葉斯方法；根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法，並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
  11. The first step is the spatial coordinate conversion, which converts the measurement data from the measurement coordinate system to the theoretical coordinate system. the next step is to work out the systematic distortion errors of the antenna surface. the last step is to found the antenna surface model based upon neural network, then we can get random errors of the measurement data and take the mse ( mean square errors ) as the standard errors of the random errors by statistical method

    本論文的數據處理過程主要包括：一，實現測量數據的坐標轉換，將測量數據從測量坐標系轉換到設計坐標系；二，求出天線面的變形系統誤差；三，建立基於神經網路的天線面模型，求出各點的隨機誤差值，用統計的方法取其均方根作為標準偏差，並最終求得天線面的型面誤差值。
  12. Standard error of mean

    均值的標準誤差
  13. The calibration of flow model is acceptable with average rms of 0. 7m, residual mean of - 0. 045 m, average absolute mean error of 0. 1 m and normalized rms value of 2. 3 %. the contour map of the simulated heads, elaborated acceptable model calibration compared to observed heads map

    模型結果中，均方差為0 . 7m ，平均誤差為- 0 . 045m ，平均絕對誤差為0 . 1m ，標準均方差為2 . 3 ，模擬地下水流場與實際觀測地下水流場基本一致，說明所建立的數值模型符合該地區的實際水文地質條件。
  14. According the imaging results of computer simulating models, we can find that the reconstructed conductivity distribution is close to the preset objects and background. the reconstruction error is small and the result conductivity value is quite accurate. the imaging objects are clear and have big contrast to the background

    模擬目標的動態成像表明：重構的電導率分佈接近於預設的模擬目標和背景，重構誤差小，數值較準確：目標圖像比較清晰，與背景的對比度較大；背景基本均勻。
  15. One is combined with the maximum average error criterion and the mean square error criterion, and the other is combined with the absolute value average error criterion and the mean square error criterion. theory analysis shows that the two new search methods have less computational complexity than that of the non - optimal method

    提出了兩種替換原有均方誤差最小準測的方法，分別是最大平均誤差與均方誤差最小準則相結合的搜索標準，以及絕對值平均誤差與均方誤差最小準則相結合的搜索標準。
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