極大似然率 的英文怎麼說
中文拼音 [jídàsìránlǜ]
極大似然率
英文
maximum likelihood ratio-
Then, with the concept of accumulated failure probability, the proposed approach combines the least ? quares method with bayes " theorem, takes advantage of the parameter estimation for single weibull distribution to each derived subgroup data set, and estimates the parameters of each subpopulation. the estimates given by this paper also satisfy the maximum likelihood equation. the mean time to failure and the reliability estimation of the mixed population are given
然後通過利用累積失效概率等概念，對每個導出的子組數據集聯合運用最小二乘法、貝葉斯定理和對單一威布爾分佈的參數估計法，從而得到每個子總體的滿足極大似然原理的參數估計，給出了該混合總體平均壽命和可靠度的估計。The maximum likelihood registration algorithm based on earth - centered earth - fixed ( ecef ) coordinate system considers the geometry of the global, and eliminates errors introduced by the stereographic projection. the simulation result based on this registration algorithm shows that the satisfied angular biases can be preliminarily obtained. 5
基於地心坐標系的傳感器極大似然配準演算法考慮到了地球曲率的影響，克服了立體投影法的缺陷；採用這種演算法，我們可以把不同傳感器局域坐標系的量測轉化到地心坐標系中，變成統一的量測，便於融合中心做進一步的處理；模擬結果表明這種演算法可以得到較為滿意的角度偏差。In the main theorem, we obtained the error bound between the maximum likelihood estimator and the true parameter
使用這個不等式和概率論的方法，我們得到了參數的極大似然估計的誤差界這一主要定理There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc. music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated
空間譜估計的演算法大致分兩大類:一是基於極大似然估計和最大后驗概率估計統計理論的演算法，包括:極大似然估計法（ ml ） 、最大熵法等;另一類是基於對協方差矩陣進行子空間分解或投影的演算法，包括:矢量特徵法、多重信號分類法（ music ） 、投影矩陣法等。其中， music法是一種經典的空間譜估計主流演算法，具有超強的分辨性能，但它無法實現對相干信號進行測向分辨。Parameter estimation of the weibull distribution tampered failure rate model under a normal stress
分佈步進應力加速壽命試驗損傷失效率模型參數的近似極大似然估計和逆矩估計One point method, mean square curve method and the maximum likelihood principle to predict p - s - n curve for welded steel structures for arbitary survival rate are presented
本文建立了任意存活率下焊接鋼結構p - s - n曲線預測的一點法，均方差曲線法極大似然法。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、最佳線性無偏估計法、簡單線性無偏估計法、最好線性同變估計法對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。Maximum pseudo - likelihood method is used to estimate the coefficient functions in the diffusion of single - factor interest rate models
摘要本文用極大擬似然估計法估計了中國銀行間市場七天拆借利率擴散模型的參數。Edges of the image are detected out firstly, labeled according to the motion that they obey then and the areas of the frame between edges are divided into regions. at last, using the bayesian framework presented determines the most likely region labeling and depth ordering with the labeled edges
首先使用經典的canny運算元檢測出一幀圖像的邊緣，然後對其進行運動估計、邊緣和區域標定，再應用最大后驗概率的貝葉斯方法搜索出不同區域的極大似然分割，給出不同運動層的相對深度標定。The convergence of the pnn decision rule for the bayesian decision rule is proved with probability. an explicit formulation of pnn generalization ability is proposed. and the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability
證明了pnn的決策函數依概率收斂于貝葉斯決策函數;給出了pnn的推廣能力表達式;證明了一個分類網路的測試集正確率是該網路推廣能力的極大似然估計;給出了分類網路中需要的測試集數目表達式;證明了pnn推廣能力不大於由貝葉斯決策所帶來的正確識別率分享友人