random weight造句
例句與造句
- an edgeworth expansion for the u-statistic and its random weighting approximation
展開及其隨機(jī)加權(quán)逼近 - edgeworth expansion of random weighting estimation in semi-parametric regression model
半?yún)?shù)回歸模型隨機(jī)加權(quán)估計(jì)的漸近展開 - then li yirig-fu extended taylor and hu s results, in this section we extend li ying-fu's results to the cases of random index, and obtain random strong laws of large numbers, meanwhile we obtain theorems of random weighted sums, the results are the following
李應(yīng)富改進(jìn)和推廣了taylor和hu的結(jié)果，本節(jié)中我們又將李應(yīng)富的部分結(jié)果推廣到了隨機(jī)足標(biāo)的情形，得到了可交換隨機(jī)變量序列的隨機(jī)強(qiáng)大數(shù)律，另外還得到了隨機(jī)加權(quán)和定理，主要結(jié)果如下：定理1 - but in this paper we discuss the convergence for random weighted sums of random elements in the more general structure, and the paper contains results which generalize some previous results . from 1978 on, it begins to be studied directly the convergence of randomly weighted partial sums of random elements in separable banach spaces or in separable mormed liner spaces, in general
在以往的文獻(xiàn)中討論的隨機(jī)加權(quán)和多為sumfromi=1tona_(ni)x_i這種形式，而本文給出了在更一般形式下隨機(jī)加權(quán)和的收斂性，并對(duì)以前的一些定理作了一些適當(dāng)推廣。 - this paper studies mainly the theories of the semi-parametric regression model : ( 1 ) under proper conditions, using random weighted way to the estimator of the error density f ( x ) of the semi-parametric regression model, this paper proved the strong and weak consistent and the asymptotic unbiased property of the weighted kernel estimation fn1 ( x ) of the f ( x )
本文對(duì)半?yún)?shù)回歸模型：主要做了以下三個(gè)方面的理論研究：(1)將隨機(jī)加權(quán)法應(yīng)用到半?yún)?shù)回歸模型的誤差密度f(x)的估計(jì)當(dāng)中去，在適當(dāng)?shù)臈l件下，證明了誤差密度的加權(quán)核估計(jì)(?)_(n1)(x)的強(qiáng)相合性、弱相合性及漸近無偏性。 - It's difficult to find random weight in a sentence. 用random weight造句挺難的
- in this paper we discuss the convergence in the r-th mean and in probability for random weighted sums of random elements in a type p and b-convexity banach space, and give some necessary and sufficient conditions for the randomly weighted sums of the form vn anixni to converge, and also we give the convergence of weighted sums of martingale difference arrays of the form qnidni with values in a p-smoothable banach space . most of the previous papers discuss the randomly weighted sums of the form anixi
本文討論了在p型和b凸banach空間上的隨機(jī)加權(quán)和sumfromi=ntov_na_(ni)x_(ni)的平均收斂性及依概率收斂性，并從中給出了滿足這些收斂性的充分與必要條件，以及在p階光滑banach空間下鞅差陣列隨機(jī)加權(quán)和sumfromi=ntov_na_(ni)d_(ni)的平均收斂性及依概率收斂性。 - as the scheme of packet distributed influence the performance of parallelism, in this paper, the hdw ( hash-based dynamic weight ) scheme for allocation packets in network processors is presented . the scheme is building and keeping one mapping relationship between packets ’ identifier and pes in a table of hash . the mapping formula is derived from the hrw ( highest random weight ) scheme, it is complemented by a feedback control mechanism designed to monitor processor ’ s utilization
由于報(bào)文分配策略影響網(wǎng)絡(luò)處理器并行性能,我們提出了hdw(hash-baseddynamicweight)負(fù)載分配算法,基于報(bào)文流標(biāo)識(shí)與pe間建立映射關(guān)系,并將映射關(guān)系保存在哈希表中,映射關(guān)系基于hrw(highestrandomweight)算法,增加了負(fù)載反饋回路監(jiān)控pe負(fù)載狀況,通過動(dòng)態(tài)調(diào)整策略阻止pe間負(fù)載偏差。