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- minimum risk equivariant estimator 最小風(fēng)險同變估計
- At the same time,we also find out the optimal estimators in the class of Location-Scale linear equivariant estimators. 同時(shí)也討論了位置-刻度線(xiàn)性同變估計中的最優(yōu)估計.
- An estimator is a random variable. 估計量是一個(gè)隨機變量。
- The estimator can take various specific forms. 這種估計式可采用不同的具體形式。
- equivariant estimate 同變估計
- Comparison of M-estimator and LTS Estimator in Regression. LTS回歸與M估計穩健性的比較。
- Is it possible for an estimator to be unbiased but inconsistent? 是否有可能(一個(gè)估計量)是無(wú)偏卻不一致的?
- The performance of DOA estimator is studied via Monte Carlo simulations. 仿真結果驗證了該方法的有效性。
- We are discussing whether OLS estimator satisfy asymptotic normality. 我們討論是否OLS估計量滿(mǎn)足漸近正態(tài)性。
- For a small cover over a polytope, its equivariant cobordism class is determined by the tangential representation set. 摘要多面體上的小覆蓋的等變配邊類(lèi)是由它的切表示集所決定的。
- So that, in RX needs a well estimator to reconstruct original signal. 因此,在接收端需要有一個(gè)良好的估測系統來(lái)還原信號。
- We first prove the theorem on equivariant embedding of symmetric spaces in Lie groups. 首先,我們證明對稱(chēng)空間到李群的等變嵌入定理。
- Objective The collinearity in data can produce inaccurate estimator and test. 目的共線(xiàn)關(guān)系可產(chǎn)生不準確的估計及檢驗。
- The condition for a 3D polynomial map to be equivariant is theoretically analyzed and proved. 本指南中的內容將有助于您編寫(xiě)出更好的圖形應用程序。
- The unfolding of equivariant bifurcation problems with parameter symmetry under a subgroup of left-right equivalence group is discussed. 討論分歧參數帶有對稱(chēng)性的等變分歧問(wèn)題在左右等價(jià)群的一個(gè)子群下的開(kāi)折,分別給出了其開(kāi)折是平凡和通用的充要條件。
- Applying a property of orbit structures of twisted conjugate actions to involutions, we then get the aforementioned equivariant embedding of symmetric spaces in Lie groups. 利用本文中證明的李群扭共軛作用的軌道性質(zhì),將扭共軛作用中的自同構取為對合自同構,我們就得到了如上所述的對稱(chēng)空間在李群中的等變嵌入。
- The estimator is simple in construction and the error of stator resistance is small. 該辨識器結構簡(jiǎn)單,辨識的定子電阻誤差較小。
- The state variables of such an equivariant bifurcation problem are divided into two groups, in which the first can vary independently, while the other depends on the the first. 將這種等變分歧問(wèn)題的狀態(tài)變量分為兩組,其中一組的諸狀態(tài)變量可以獨立地變化,而屬于另一組的諸狀態(tài)變量在變化過(guò)程中依賴(lài)于前一組中的諸狀態(tài)變量。
- Simulation results show that the ML estimator produces more efficient than the LS estimator. 仿真結果表明,對于此類(lèi)誤差最大似然估計比最小二乘估計有效性更好。
- The result calculated by the Needs Estimator is only a guide based on your information. 根據您提供的資料所計算的結果僅作參考。