極大似然解 的英文怎麼說
中文拼音 [jídàsìránjiě]
極大似然解
英文
maximum likelihood solution-
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。Secondly, in the first phase, this paper solves the inventory supplement sub - problem through integer programming model, using the reduction of vehicle routes as the breakthrough to this problem, divides a whole distribution region into many customer subsets by radius - circle partitioning method, determines the optimal number of vehicle of service distribution region, applies two practice - oriented conclusions to reduce the number of routes on the basis of customer grouping, thus decreases considerably the variable scale of integer programming, and solves the problem through professional software to fix inventory supplement plan in plan period
其次，在第一階段使用整數規劃數學模型來規劃庫存補充計劃子問題，以減少車輛巡迴路線數目為求解該整數規劃的突破口，提出與固定劃分策略（ fpp ）相似的客戶分組思想，通過徑?環切割法把整個配送區域劃分成多個客戶子集，實現客戶分組並確定服務整個配送區域的最佳車輛數目。在客戶分組的基礎上建立了精簡路線的整數模型，然後通過運用兩條基於實際經驗的判斷來進一步減少巡迴路線數目，進而極大地減少了整數規劃的變量規模，並利用專業的求解軟體來求解該整數規劃問題，從而確定計劃期的庫存補充計劃。The effects are on the probabilistic assessment of both scattering regularity and sampling size of the test s - n data. p - s - n curves are characterized by the scale and location parameters related s - n relations for the maximum value model. the materials constants of in the scale relations are given by the average s - n relations and the locations
曲線用極大值分佈的位置與尺度參量s - n關系曲線來表徵，尺度參量s - n關系曲線可表示成均值與位置s - n曲線的函數；均值曲線的材料常數應用最小二乘法求出，位置曲線參數通過極大值分佈的似然函數解出。Advanced algorithm for maximum likelihood estimation of three parameter weibull distribution
分佈參數的極大似然估計數值解法It comes up with a new notion, d - solution, which is applied to the distance estimation, by virtue of hilbert space ; furthermore, the dissertation has gained a necessary condition which is identity of minimum mean - square value in linear function classes, so that d - solution extends minimum mean - square value within the domain of nonlinear function equation or equation system ; and, the dissertation studies in detail the classical moment estimation and maximal likelihood estimation on the parameters of ar ( p ), a series of theorems in the estimation section shows the moment estimators are consistent on the ground of large samples jikewise, those distribution functions of the estimated parameters accord to maximum likelihood estimation converge gauss distribution if the white noise is gaussan
首先，藉助hilbert空間理論，提出了距離估計的d -解，給出了d -解的必要條件，這個條件在線性函數類里即是極小二乘估計法， d -解的必要條件滿足的方程實質上將極小二乘估計法推廣到多函數及非線性函數類。再而，詳細地研究了多元弱平穩序列自回歸模型ar （ p ）的參數經典的矩的替代估計和極大似然估計，獲得矩的替代估計的一致性的結果。對基於gauss白噪聲假設多元弱平穩序列自回歸模型的均值、白噪聲的協方差陣的極大似然估計都有依分佈收斂到多元正態分佈的統計性質。It follows from the general convergence theory that the em algorithm generally converge to a local maximum solution of the likelihood function and cannot be guaranteed to converge to a correct solution, i. e., a consistent solution of the samples
Em演算法的一般收斂理論認為，演算法只能收斂到似然函數的一個局部極大解，無法保證能夠收斂到與樣本的真實參數相一致的解上。Section 4 is devoted to give some new iterative algorithms with errors. with some noncompact constraint qualifications, we prove the existence of solution for the generalized nonlinear fuzzy quasi - variational - like inclusions involving maximal - monotone mappings and the convergence of iterative sequences generated by the iterative algorithms. in the last, we discuss the convergence and stability of perturbed iterative algorithm for solving a class of generalized nonlinear quasi - variational - like inclusions involving maximal - monotone mappings
第四部分，首先給出一些新的含誤差的迭代演算法，然後證明這類含-極大單調映象的廣義非線性模糊擬似變分包含在非緊條件下的解的存在性和由此類迭代演算法產生的迭代序列的收斂性；第五部分，我們討論了求解一類含-極大單調映象的廣義非線性擬似變分包含的擾動迭代演算法的收斂性和穩定性。分享友人