無偏線 的英文怎麼說

中文拼音 [piānxiàn]
無偏線 英文
agone
  • : 無Ⅰ動詞(沒有) not have; there is not; be without Ⅱ名詞1 (沒有) nothing; nil 2 (姓氏) a surn...
  • : Ⅰ形容詞1 (不正; 歪斜) inclined to one side; slanting; leaning 2 (只側重一面) partial; prejudi...
  • : 名詞1 (用絲、棉、金屬等製成的細長的東西) thread; string; wire 2 [數學] (一個點任意移動所構成的...
  1. Ray a is reflected and transmitted without deviation.

    被反射,且傳播時移。
  2. Kalman filter is the best estimate under the linear and unprejudiced least mean square error rule

    卡爾曼濾波是最小方差準則下的最優估計。
  3. We make the following assumption for when 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of least squares estimate have been discussed in many documents. considered 2 is nonnegative definite matrix, this thesis derives best linear unbiased estimate of parameter matrix b and estimable parameter function kbl under the meaning of matrix nonnegative definite and the property of maximum probability of blue is investigated. next, we discuss some necessary and sufficient conditions of the equality of the lse and blue, then we derive the estimation of the deviation bet - ween the least squares and the best linear unbias estimators of the mean matrix, meanwhile a relative efficiency of lse ofb is proposed and its bound is given

    當0時,眾多文獻討論了回歸系數陣的各種估計及lse的有效性,本文考慮了當0的情形,給出了回歸系數陣b及其可估參數函數kbl的在矩陣非負定意義下的最優估計( blue ) ,研究了它的一個最大概率性質,並且討論了最小二乘估計成為最佳估計的充分必要條件,在此基礎上給出了均值矩陣的最小二乘估計與blue的差估計,定義了lse相對于blue的一個相對效率,並給出了它的界。
  4. Robustness of minimum norm quadratic unbiased estimator of variance for the general linear model

    一般性模型下方差最小范數二次估計的穩健性
  5. Robustness of minimum norm quadratic unbiased estimator of variance under the general linear model

    一般性模型下方差的最小范數二次估計的穩健性
  6. A nonlinear ship steering controller is designed successfully. even considered the noises caused by wind, wave and current, the matlab simulation tracking error is almost zero. simulation results show that the presented algorithm is effective and robust

    在存在舵機非性和海浪干擾的情況下,分別跟蹤階躍響應及正弦曲,航向跟蹤效果很好,幾乎差跟蹤,且打舵小,具有較強的魯棒性。
  7. Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed

    摘要基於最小方差估計理論,提出了一種任意相關雜訊性系統非同步狀態向量融合演算法。
  8. Monte carlo simulations were conducted to study the new approaches of qtl mapping, the results indicated that general least squares ( gls ) method, which was widely applied in mixed linear model, could unbiasedly estimate all genetic main effects, including additive effects, dominance effects and epistatic effects of additive by additive, additive by dominance, dominance by additive, dominance by dominance. the interaction effects between genetic main effects and environments could also be predicted unbiasedly by linear unbiased prediction ( lup ). the heterosis prediction based on qtl effects was also unbiased

    對新提出的qtl分析方法進行了montecarlo模擬研究,結果表明,廣泛應用於混合性模型的廣義最小二乘法( gls )能夠估計加性效應,顯性效應以及加加、加顯、顯加、顯顯上位性效應等各項遺傳主效應;運用預測法( lup )能夠預測上述各項遺傳主效應與環境的互作效應;基於qtl效應的雜種優勢預測也是的。
  9. By the calibration method, reliability index of current maintenance standard for mainline railway cwr in china is analyzed. an important conclusion that reliability index for different curved radius is different and reliability index of small radius curve is lower than big radius curve is reached

    對我國干鐵路路穩定性的可靠指標進行了校準分析,結果是不同曲半徑的穩定性可靠指標不均衡,小半徑曲的可靠指標低。
  10. In the meanwhile, seeing that the parameters are restricted for many practical problems, the author also studies the problems of optimal conditional prediction in the model with respect to two classes of restriction of linear parameter equations. what is more, the optimal conditional linear and optimal conditional ^ - linear unbiased predictors are also obtained respectively, which extends the results given by the predecessors and enrich the theory of optimal prediction

    考慮到對于實際問題,模型參數一般是要受到一定的約束,因此作者也研究了兩類性等式約束條件下的模型的最優預測問題,得到了模型的最優條件預測和最優條件-預測,從而成功地推廣了前人的結果,豐富了這方面的預測理論
  11. The conclusion is that the back analysis results have the character of unbiasedness, efficiency and consistency. bayes random method which considers the prior errors is better in the back analysis of embankment dam ' s nonlinear materials

    結論認為bayes隨機反演結果具有性、有效性和一致性的特點;在土石壩等非性材料反演分析中,考慮先驗信息誤差的bayes隨機反分析方法具有較好的適用性。
  12. As a result, we are not only unable to obtain the optimal prediction in general cases but incapable of finding the necessary and sufficient conditions as well. considering linear and o - linear predictable variables, the author investigates optimal prediction problems by the trace of matrix. a few necessary conditions are derived and accordingly optimal linear and optimal o - linear unbiased predictors, which are unique with probabitity one, are obtained respectively by the author

    對於一類性可預測變量和-性可預測變量,作者在矩陣跡意義下研究了一般增長曲模型中最優預測問題,找到了其存在最優預測的幾個必要條件,並在給定的條件下分別得到了最優預測和最優-預測,而且還證明了它們在幾乎處處意義下的唯一性
  13. Abstract : the generalized shrunken prediction of finite population is introduced, using generalized shrunken least squares estimator of linear regression models. with respect to prediction mean squared error, a necessary and sufficient condition for superiority of a generalized shrunken prediction over the best linear unbiased prediction is obtained. in the case of linear combination of every unit index, a linear restricting prediction is introduced and then a necessary and sufficient condition for superiority of linear restricting prediction over the best linear unbiased prediction is devived

    文摘:利用性回歸模型的廣義壓縮最小二乘估計,引入了有限總體的廣義壓縮型預測,在預測均方誤差意義下,得到了廣義壓縮型預測優于最佳預測的一個充分必要條件;在只能得到每個個體指標的性組合時,引入了一種性約束型預測,並得到了性約束型預測優于最佳預測的一個充分必要條件
  14. The robustness of bayes linear unbiased estimations under misspecified prior assumption

    估計的穩健性
  15. After contrasting and analyzing the two common used measure method of discontinuity, a modified method that is elaborate method of joint surveying is put forward for the first time. rational method to get spacing of joints is researched utilizing lots of statistical results. according to the theory of minimal valid length of scanline, 5m is chose as appropriate statistical section length to obtain the successive values of those indices indicating rock mass structure, they are spacing, number and total length of joint

    本文在對比分析目前兩種常用的結構面測量方法優缺點基礎上,首次提出了一種改進的結構面測量方法?節理詳細精測法,並利用大量的統計結果,研究合理的間距取值方法,根據間距差測量的最小有效測長度理論,選擇5m作為統計區間長度,獲得了節理間距、條數、總長度隨洞深的連續變化值。
  16. In this paper, we discussed the procedures of quantiles, maximum - likelihood, probability weighted moments, moments, least square, the best linear unbiased estimate, good linear unbiased estimation, and the best invariant estimate to the parameters of gumbel distribution, then give out the expectation and variance - covariance respectively. we compared the statistical behavior of these eight estimate procedures not only theoretically but also in the monte - carlo simulation

    本文利用分位數法、極大似然法、概率加權矩法、矩法、最小二乘法、最佳估計法、簡單估計法、最好性同變估計法對gumbel分佈中的參數進行估計,分別給出了這八種估計量的期望、方差和協方差。
  17. Canonical correlation coefficient and the best linear unbiased estimation

    典型相關系數與最佳估計
  18. Extension of the uniformly minimum variance unbiased estimation of a class of multivariate linear model

    一類多元性模型的一致最小方差估計的推廣
  19. Latest progresses on some fundamental and important problems about information fusion in sensor networks are presented, including the multisensor distributed decision in the most general case in the sense of globally optimal fusion ; the optimal dimension compression of the sensor observations or local estimates ; the best linear unbiased estimation fusion formula and the efficient iterative algorithm ; the distributed kalman filtering fusion for the multisensor dynamic systems with cross - correlated sensor noises ; and the fault - tolerant interval estimation fusion

    摘要系統地闡述了傳感器網路環境中幾個基本而又重要的信息融合問題的最近進展,包括:最一般條件下全局最優的多傳感器分散式統計判決;傳感器觀測數據或局部估計的最優維數壓縮;一般條件下最優估計融合公式及其有效演算法;傳感器觀測噪聲相關情形下動態系統的卡爾曼濾波融合;容錯條件下的區間估計融合。
  20. Based on wavelet analysis, wls is the best linear unbiased estimator of regression model parameters in the context of l / f noise

    基於小波技術的wls法是具有1 f噪聲的系統回歸模型參數的最佳估計。
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