獨立同分佈 的英文怎麼說
中文拼音 [dúlìtóngfēnbù]
獨立同分佈
英文
independent indentity distribution- 獨 : Ⅰ形容詞(一個) single; only; sole Ⅱ副詞1 (獨自) alone; by oneself; in solitude 2 (唯獨) only...
- 立 : 動1 (站) stand; remain in an erect position 2 (使豎立; 使物件的上端向上) erect; stand; set up...
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 獨立 : 1. (單獨站立) stand alone 2. (自主自立; 不受人支配) independence 3. (不依靠他人) independent; on one's own
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The limit theory of law of the iterated logarithm have received more and more attentions, especially about identical independent random variables. but up to now, the studies are only for partial sums and, have n ' t shown any concern on the special finite partial weight suras. however, the partial sums and partial weight sums not only have the osculating aspects, but also have essential difference between them. so the studies for these play an important role in theoretical and applied setups
因此對重對數律的研究引起了國內外學者的興趣,對獨立同分佈的隨機變量,許多學者做了大量的研究工作,但迄今為止這方面的研究仍限於部分和數列的重對數律,很少涉及到特殊加權和的領域,而部分和與加權和之間既有密切聯系,又有本質不同,因此,這一問題的研究具有一定理論意義和應用價值。The problem discussed in this paper is to separate two ( or more ) input signals from observed signals which are generated by passing input signals through diffrent unknown multi - input multi - output linear systems. it is proved that the input signals can be separated when they are independent identitically distributed ( i. i. d ) signals. a new algorithm for multi - input multi - output blind deconvolution via maximum entropy is presented which needs no information about the input signals and mixing filters
本文研究的問題是從觀察信號中分離出兩個(或者更多個)輸入信號,其中每一組信號分別通過不同的未知多輸入多輸出線性系統.本文證明了當輸入信號是兩兩相互獨立的獨立同分佈信號時可以分離出輸入信號,並導出了基於最大熵的多輸入多輸出盲解卷新演算法.這個演算法不需要任何關于輸入信號和混合濾波器的先驗知識Are i. i. d. random variables bounded above while the infection rate is a constant. the contact process survives locally for every
是獨立同分佈而且有上界的隨機變量,感染的速率是常數1 be a sequence of i. i. d. random variables with common d. f
1是一列獨立同分佈的隨機變量,其共同分佈為Moment complete convergence for b - valued iid random elements sequence
值獨立同分佈隨機變元序列的矩完全收斂性The complete convergence for partial sums of sequence of complex idd random variable
復值獨立同分佈隨機變量序列部分和的完全收斂性A strong limit theorem on random selection for independent identical distribution random variables
獨立同分佈隨機序列隨機選擇的強極限定理的證明The weak law of large numbers for weighted sums of random variable sequences of independent and identical distribution
獨立同分佈隨機變量列加權和的弱大數定律These classical work mainly dealt with the claim size which are a sequence of independent and identically distributed random variables
這些經典的工作基本上都是針對索賠額序列是非負獨立同分佈的情形來展開研究的。Under the condition that the error terms are i. i. d. the asymptotic behaviors of the conditional solution and unconditional solution of carr model are investigated in this paper
摘要在誤差項獨立同分佈的條件下,本文討論了條件自回歸極差模型條件解和無條件解的漸近性質。This paper discusses from the point of complete convergence the convergence of random sequences which include both i. i. d. and dependent case, such as na sequences and - mixing sequences
這篇文章主要從完全收斂性的角度研究隨機變量序列的收斂性,不僅包括獨立同分佈的隨機變量序列,還包括不獨立的情況,例如na序列和-混合序列。Lots of research results are obtained in this field, though which are always based on two assumptions : one is that process variables are subjected to multivariate normal distribution ; the other is that samples are subjected to independent and identical distribution ( iid )
在此領域雖已獲得了大量成果,但研究基本上是在過程檢測數據服從多元正態分佈和獨立同分佈的兩個假設下進行的。This paper has three parts, introduction gives the origin of the problem, some definitions and some lemmas. in the second chapter, we give the proof of extended lemmas and theorems in details. in the third chapter, we discuss the necessity of moment conditions in the case of i. i. d. r. v.
全文分三個部分,引言介紹了問題的提出,一些定義及引理;第二章詳細證明了推廣的引理和定理;第三章討論了獨立同分佈的情形中矩條件的必要性。It is just like what embrechts, kl ppelberg and mikosch ( 1997 ) [ 6 ] pointed out : " random sums are the bread and butter of insurance mathematics ". and what have intimate relation with random sums are renewal counting processes and other counting processes. in the current theory of insurance and finance, the random variables generating counting processes are often supposed independent identically distributed, this hypothesis is reasonable in many situations and we have obtained rather satisfactory " results about it
) ppelbergandmikosch ( 1997 ) [ 6 ]指出: 「隨機和就像是保險數學中的麵包和黃油」 ,而與隨機和密切相關的是更新計數過程和其他計數過程,在現行保險金融理論中,人們往往假設構成計數過程的隨機變量獨立同分佈,這一假設在許多場合下是合理的,並且取得了頗為圓滿的結果。In this paper, the principle of spread sequence communication and all kind of the current multi - user detection techniques and the independent component analysis ( ica ) algorithm are respectively analyzed completely in chapter ii, chapter iii and chapter iv. based on the statistical feature of multi - user signal that the signal of every user ' s and every channel is statistical independent with each other and take the same distribution, the mathematical model of the received multi - user signal is fully researched, then the blind signal detection algorithm is introduced into the multi - user signal detection, two new algorithms of multi - user detection are proposed : multi - user detection based on the delay estimation of downlink using ica in ds - cdma and based on ica post processing matched filter multi - user detection
本文比較全面的從第二章到第四章分別介紹了cdma擴頻通信的原理和現有的各種多用戶檢測技術以及獨立分量分析( ica : independentcomponentanalysis )這種盲源分離演算法,並在此基礎上,從多用戶信號的統計獨立同分佈的統計特徵出發,分析研究了cdma通信中多用戶信號的數學模型,將盲源分離技術應用到多用戶信號檢測當中來,提出了兩種盲多用戶檢測的策略:基於獨立分量分析的下行鏈路延遲估計的多用戶檢測演算法;基於獨立分量分析后處理的匹配濾波多用戶檢測。As for i. i. d. r. v., we get the extension of " the law of iterated logarithm of hartman - wintner " under weaker conditions. at the end of this paper, we discuss that the moment conditions of theorem are necessary to the law of iterated logarithm of this form
對獨立同分佈的情形,在更弱的條件下得到「 hartmnan - wintner重對數律」的推廣,並在文章最後證明了此時對這種形式的重對數律定理中矩條件是必要的。Let { xn ; n > 1 } be mutually identically independent random variables distributed according to the normal distribution, { sn, n > 1 } be finite partial sum series, the purpose of this paper is to investigate law of the iterated logarithm type results for special finite partial weight sum series { sn, n > 1 }, we assume that sn = a1sn + a2 ( s2n - sn ) + a3 ( s3n - s2n ) +. . + ad ( sdn - s ( d - 1 ) n ) in the second chapter, theory 2 by using the method of literature [ 8 ], we extend hartman - wintner law of iterated logarithm on the gauss distribution. we substitute negative correspond for independent. it extends the corresponding results in gauss distribution
設{ x _ n ; n 1 }是獨立同分佈的且服從標準正態分佈的隨機變量序列, { s _ n , n 1 }是其部分和數列,討論有限項特殊加權部分和{ s _ n , n 1 }的重對數律,其中定理2利用文獻[ 8 ]提供的方法,在高斯分佈上改進了hartman - wintner的重對數律,取消獨立性用更弱的條件負相關代替,大大拓寬了重對數律在高斯分佈中的使用范圍。The concept of complete convergence was introduced by p. l. hsu and robbins [ 11 ] in 1947 : for arbitrary > 0 and i. i. d random variables with mean zero and variance 1, we have this conclusion strengthened classical strong law of large numbers in the direction of borel - cantelli lemma
完全收斂性的概念是許寶祿和robbins [ 11 ]於1947年提出:對于均值為0 ,方差為1的獨立同分佈的隨機變量序列和任意0 ,我們有這個結論沿著borel - cantelli引理的方向加強了古典的強大數律。In discrete condition, considering two cases of independent identical distribution and dependent distribution, we gave the moment, the second moment and variance, in continuous condition, models of the random rate of interest were established respectively by gauss process, wiener process or o - u process
對于離散型情況,考慮了獨立同分佈和非獨立兩種情形,分別給出了給付現值的一、二階矩和方差。Based on the obtained lower bounds on mean squared channel estimation errors, the limits on bit error rate ( ber ) for maximal ratio combining ( mrc ) with gaussian distributed weighting errors on independent and identically distributed ( i. i. d ) fading channels are presented
通過對不同衰落通道多普勒譜的積分,求出了相應的通道估計均方誤差下界的閉合表達式,並在此基礎上得到了分集系統在獨立同分佈的衰落通道中採用最大比合併時的誤碼率下界。分享友人