weighted least squares造句
例句與造句
- Order components were extracted in time domain by constructing weighting least square adaptive filter
通過構(gòu)造加權(quán)最小二乘自適應(yīng)濾波器，實(shí)現(xiàn)了各階比成分在時(shí)域中提取。 - On account of the defects of rigid localization condition and low localization accuracy in double - vessel localization , the paper gives an algorithm of multiple - vessel localization based on weighted least squares
摘要針對(duì)雙艦定位存在的定位態(tài)勢(shì)要求高、定位精度低等，提出了基于加權(quán)最小二乘法的多艦定位算法。 - Synthesizing the two identification methods of weighted least square and resricted memory , the mutivariable system recursive estimate algorithems of unknown parameter of autoregressive models in the presence of controlled inputare are given
摘要將加權(quán)最小二乘法和限定記憶兩種參數(shù)估計(jì)方法相綜合，給出了多變量系統(tǒng)帶控制輸入的自回歸模型未知參數(shù)的遞推估計(jì)算法。 - While it ' s always possible to estimate robust standard errors for ols estimates , if we know something about the specific form of the heteroskedasticity , we can transform the model into one that has homoskedastic errors ? called weighted least squares
對(duì)ols估計(jì)穩(wěn)健標(biāo)準(zhǔn)差總是可能辦到的，但是，如果我們知道一些關(guān)于異方差結(jié)構(gòu)的信息，我們可以將原模型轉(zhuǎn)化為具有同方差的新模型，這稱為加權(quán)最小二乘法。 - Selecting the image elements of earth and moon centers as observed quantity , measurement noise model and observed equations of autonomous navigation system are built up . the spacecraft orbit is determined by using the recursive weighted least square based on ud factorization
在奔選取地心和月心像素作為觀測(cè)量,建立了符合實(shí)際情況的量測(cè)噪聲模型和自主導(dǎo)航系統(tǒng)的觀測(cè)方程,并利用基于ud分解的遞推加權(quán)最小二乘算法估計(jì)了奔月探測(cè)器的軌道參數(shù)。 - It's difficult to find weighted least squares in a sentence. 用weighted least squares造句挺難的
- The paper employs the same method that has been used by schwert ( 1989 ) in the examination of the relationship between stock market volatility and macroeconomic volatility . firstly , the paper uses the iterated weighted least squares to estimate the conditional volatilities of economic variables . and then it seasonally adjusts the conditional volatilities on the basis of schwert ( 1989 ) , because according to the analysis of the paper , the conditional volatility of each variable exhibits the cyclical seasonal movements and removing the cyclical seasonal movements will ensure the removal of the effects of nonessential factors on economic variables
文章依照schwert ( 1989 )檢驗(yàn)美國股票市場(chǎng)收益率波動(dòng)與宏觀經(jīng)濟(jì)波動(dòng)之間關(guān)系的研究方法通過迭代加權(quán)最小二乘法( iteratedwls ) ，首先估計(jì)經(jīng)濟(jì)變量的條件波動(dòng)率，并在schwert ( 1989 )的基礎(chǔ)上對(duì)所求得的條件波動(dòng)率進(jìn)行季節(jié)調(diào)整，文章分析每個(gè)經(jīng)濟(jì)變量的條件波動(dòng)率都存在明顯的季節(jié)性周期運(yùn)動(dòng)，消除季節(jié)因素即消除了非宏觀基本面因素對(duì)經(jīng)濟(jì)變量的影響。 - Fifth , through statistical analysis of electrical connector accelerated life test data , verified that the reliability statistical model of electrical connector and the reliability statistical method under doof data are both correct . applied the maximum likelihood estimate method with the least squares estimator of test data as preliminary estimate and weighted least square estimate method separate to treat the different kind test data , obtained the estimator of electrical connector reliability characteristic values
第五，采用極大似然估計(jì)法和加權(quán)最小二乘法對(duì)電連接器加速壽命試驗(yàn)數(shù)據(jù)進(jìn)行了統(tǒng)計(jì)分析，得到了電連接器可靠性特征量的估計(jì)值，驗(yàn)證了電連接器可靠性統(tǒng)計(jì)模型和doof數(shù)據(jù)下可靠性分析方法的正確性。 - Firstly , we estimate the variance and the mean of each cell with maximum likelihood ; secondly , we identify the important dispersion effects based on least squares analysis of the logarithm of within - replication variance ; last , we identify the important location effects based on weighted least squares analysis of the mean of each cell . a simulation study also demonstrates its superiority over some existing methods . an experiment for the robust design of thermostat is used to illustrate the method
本文對(duì)帶有右截尾數(shù)據(jù)的有重復(fù)因子試驗(yàn)，提出了另一種分析位置效應(yīng)和散度效應(yīng)的方法：首先，在每一個(gè)試驗(yàn)點(diǎn)，對(duì)重復(fù)試驗(yàn)觀察值用極大似然法估計(jì)出均值和方差；其次，用每個(gè)試驗(yàn)點(diǎn)方差估計(jì)值的對(duì)數(shù)作為響應(yīng)變量與各因子建立回歸模型，鑒別出顯著的散度效應(yīng)；之后，采用加權(quán)最小二乘法鑒別出比較顯著的位置效應(yīng)。 - Two - stage - fitting ( tsf ) method is obtained , which consists of evaluating the function values of regular - grid points by using local weighted least square methods or radial function interpolation , and smoothly and quickly interpolating those points by using multivariate splines . the result is a hyper - surface of c1 or c : continuity
基于上述結(jié)果，提出了h - d空間散亂數(shù)據(jù)超曲面構(gòu)造二步法，第一步應(yīng)用局部最小二乘法或局部徑向基函數(shù)擬合法插補(bǔ)立方體網(wǎng)格點(diǎn)上的函數(shù)值，第二步應(yīng)用多元樣條光滑快速插值計(jì)算，使所得超曲面具有c ~ 1或c ~ 2連續(xù)。 - Chapter 4 introduces the use of weighted least square generalized svm for optimal control systems . weighted least square svm for robust regression estimation is generalized and then used to solve n - step optimal control problem based on the svm . the weights are determined by fuzzy method
4 .加權(quán)l(xiāng)s一svm可以對(duì)回歸估計(jì)問題實(shí)現(xiàn)魯棒估計(jì)，把它同基于ls一svm的n步最優(yōu)控制想法相結(jié)合，將其擴(kuò)展到基于加權(quán)最小二乘廣義svm ，并應(yīng)用于n步最優(yōu)控制問題，確定加權(quán)因子采用了模糊運(yùn)算的辦法。 - State estimation used by least square algorithm is usually done at the condition of unknown of it " s statistic property . to make the estimate error least , this paper introduce weight function and use weight least square algorithm ( wls ) . the result of simulation shows that the precision of estimate result is highly enhanced and this method can satisfy the need of move and control of the power system
在不知道隨機(jī)干擾信號(hào)統(tǒng)計(jì)特性的情況下，采用最小二乘法對(duì)電力系統(tǒng)的運(yùn)行參數(shù)進(jìn)行狀態(tài)估計(jì)，為了使估計(jì)誤差的方差矩陣最小，本文引入權(quán)函數(shù)使用加權(quán)最小二乘法，使估計(jì)結(jié)果的準(zhǔn)確性大大提高，仿真結(jié)果顯示，該方法完全能夠滿足電網(wǎng)運(yùn)行和控制的要求。 - On the basis of analyzing the several traditional algorithms , the efficient design method , the self - initiated weighted least squares ( swls ) combined with adaptive simulated annealing ( asa ) , are proposed explicitly for the design of pif . this chebyshev criterion based optimal approximation method has not only very fast computing speed but also high accuracy and good controllability
在對(duì)這些算法特性分析比較的基礎(chǔ)上，系統(tǒng)完整地提出適用于lcos投影分合色偏振干涉濾光片設(shè)計(jì)的最高效方法? ?自啟動(dòng)權(quán)值最小二乘算法( swls )結(jié)合自適應(yīng)模擬退火算法( asa ) 。