方差區間估計 的英文怎麼說

中文拼音 [fāngchāqūjiāngūjì]
方差區間估計 英文
interval estimate of variance
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 區 : 區名詞（姓氏） a surname
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 估 : 估構詞成分。
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 方差 : dispersion
  • 估計 : estimate; evaluate; take stock of; size up; calculate; appraise; reckon; estimation; forecast
  1. Experiment results show : ? he theory and method of information content could play an important role in the case study on the accuracy and application of dem. ( 2 ) in the loess plateau area, there are much difference between 5m resolution dems of 1 : 10000 map scale and 25m resolution dems of 1 : 50000 map scale while gathering terrain characteristic information, and yet the spatial structure of dem error have discipline and measurability on statistics. ( ? the results could offer fundamentals and methods to people on their work to research the terrain information content of dems with different scale level

    研究結果顯示： 1 、地形信息容量的理論與方法對于dem精度與應用適宜性的研究具有重要的作用； 2 、在黃土丘陵溝壑區，同1 ： 1萬比例尺5米解析度的dem相比， 1 ： 5萬比例尺25米解析度dem在提取地形特徵方面具有較大的差異，但誤差的量值與空間分佈具有統計上的規律性與可估算性； 3 、以上研究結果可望為其它各級比例尺dem地形信息容量的研究提供新的理論基礎與技術方法，也可為有關規范、標準的制定提供依據。
  2. Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure

    文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計，用牛頓-拉普森演算法估計回歸系數，用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性
  3. In the chapter 4, it primarily stats large numbers of original data and obtains the probability distributing functions of each assessment factor by means of pearson x2 goodness of fit test. and then it establishes the distributing sections of the error of each assessment factor. meanwhile it expatiates the criteria of simulator coach ' s subjective judgments

    第四章主要對大量的原始數據進行統計分析，採用peanonx 『擬合檢驗方法，獲得了各評估要素的概率分佈函數，繼而分別確定了各評估要素的誤差分佈區間，同時也對教練員的主觀判斷標準進行了闡述。
  4. ( 2 ) based on the review and analysis of typical object detection methods, especially the temporal difference, a moving objects detection algorithm based on three frame difference is proposed. this algorithm employs many new technologies, such as adaptive frame interval, half - pixel global motion estimation and compensation, adaptive change detection and object repair, therefore it is very practical

    2 .在總結常用運動目標檢測方法，並詳細討論時間差分法的基礎上，針對實地拍攝的紅外圖像序列，提出了一種基於三幀差分的運動目標檢測演算法，該演算法採用自適應幀間隔、半象素全局運動估計與補償、自適應變化區域檢測、抗噪聲形態學處理和目標修復等一系列新技術，具有很強的實用性。
  5. Secondly, it establishes the statistical mathematic models of the error of each assessment factors by means of non - parameter hypothesis test, and further divides the distributing sections of the error

    其次，運用數理統計的方法，利用非參數的分佈假設檢驗建立各個評估要素的誤差統計數學模型，劃分誤差分佈區間。
  6. Equipment reliability testing - part 4 : statistical procedures for exponential distribution - point estimates, confidence intervals, prediction intervals and tolerance intervals

    設備可靠性試驗.第4部分:指數分佈的統計方法.點估計置信區間預測區間和公差區間
  7. Equipment reliability testing - statistical procedures for exponential distribution - point estimates, confidence intervals, prediction intervals and tolerance intervals

    設備可靠性檢驗.指數分配的統計方法.點估計置信區間預期數值變化范圍和公差范圍
  8. A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases

    建立了一種最優區間估計融合模型? ?多傳感器凸線性組合，並給出搜索最優權系數的gauess - seidel迭代演算法，另外，給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合，它能減少大量的計算量。
  9. Intetval estimation of mean square error for linear statistic model

    統計模型中誤差方差的均方誤差的區間估計
  10. After that, the author focus his attention on the pure sequential confidence for the error variance in linear models

    緊接著，作者把注意力轉移到線性模型誤差方差的純序貫區間估計。
  11. ( 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。
  12. The data used in the risk assessment of regional natural disasters imply the information not only on time but also on space. when the spatial information of the data is incomplete, it is necessary to optimize the data in order to reduce the error of the assessment. in the counterpart of the paper in last issue of the journal the theoretical investigation of the problem was carried out and the imcomplete information occured in risk assessment of regionalnatural disasters were class ifiedinto two types with treatment of interpolation model and correcting model res pectively. the former model is for insufficiency of the data and the later is for the case in which the accuracy of the data is not enough. inthispaper, taking the flood sustained by rural area plant in hunan province as an example, it is explained how to use the models to calculate. the models are examined as well

    區域自然災害風險評估中所用的數據不僅具有時間的意義，而且具有空間的意義，當數據的空間信息不完備時，需要對其進行優化處理，以減小風險評估的誤差，作者在本刊上一期的一篇文章中已進行了這方面的理論探討，將區域自然災害風險評估中所遇到的空間不完備信息分為兩類，分別用插補模型和校正模型進行了處理，插補模型是針對空間數據缺失情況的，而校正模型是針對空間數據不符合精度需要情況的，本文以湖南省農村種植業水災為例，進一步說明如何應用這些模型來進行計算，並對其進行了檢驗
  13. An error detecting method which can prevent the decoding error affecting the next video packet head is used, and a restoration measure for b frame based on the mv prediction which can improve the visual quality has been studied. 3. a novel marking algorithm for ip diffserv based on the transmission condition and the different importance of video streams for decoder has been introduced

    2實現了mpeg - 4的差錯檢測、可逆變長解碼rvld和差錯掩蓋方法:對i或p幀紋理區的差錯先用rvld進行解碼，然後對殘留的差錯用空間插值或運動補償方法進行掩蓋，而對p幀的運動矢量mv ，利用圖像的空間平滑特性進行恢復; 3針對b幀差錯的復原，我們還提出了一種基於運動估計的方法。
  14. In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression

    首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
  15. The influences of the signal - to - noise ratio and the integration limit on reverberation times evaluation are weakened, and a minimum statistical standard deviation and 95 % probability confidence interval are obtained

    同時，對比現有其他方法在統計上有最小的估值標準差，其均值的95 %概率置信區間也最小，有效地提高了混響時間的估值精度。
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