前中布不平均 的英文怎麼說
中文拼音 [qiánzhōngbùbùpíngjūn]
前中布不平均
英文
b. uneven v-inset-
In the years of errors and corrections respectively, through the empirical analysis on stockjobbing amount and price, it researches there ' s no difference on studied sample and control sample in appointed areas, and the investors of our securities business have no specially attention on these information. on the other word, we validate the corrections of accounting errors have no market conductibility. later, it analysis the reasons
分別在會計差錯的發生年度和差錯的更正年度中，通過測試和控制樣本的股票交易量、平均超額收益率和累計超額收益率在報表公布日前後各30天的時窗內的檢驗，說明我國證券市場的投資者對這類信息未予以特別關注，即我國上市公司的會計差錯及其更正行為不具有市場傳導效應，並進一步從理論上分析了這種現象產生的原因。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。
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