identically distributed 中文意思是什麼

identically distributed 解釋
恆等分佈的
  1. 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。
  2. This dissertation is based on the works of former researchers, and we are concerned with the principles, approaches, performance properties and the design rules of radar cfar detection and distributed radar cfar detection systems under complicated environments ( such as interference, clutter and varied environments with non - identically detect conditions ). the main contributions of this paper are summarized as follows : ( 1 ) the basic results on radar cfar detection are reviewed

    本文的主要宗旨是在前人研究成果的基礎上,面向實際應用的需求,研究在各種接近實際工作條件的復雜環境(干擾、雜波,以及變化與非一致的的檢測條件)下,雷達cfar檢測與分散式cfar檢測的理論、方法、性能特點與設計思路。
  3. 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。
  4. Limiting behavior of weighted sums of identically distributed - mixing random variables

    混合隨機變量序列加權和的極限性質
  5. Maximal inequalities for identically distributed - mixing random variables and applications

    混合序列的最大值不等式及其應用
  6. The paper discuss the upper bound of the distribution of the partial sums of identically distributed mixing random variables

    摘要本文討論了同分佈混合序列部分和分佈函數的上界及其應用。
  7. A kind of complete convergence of sums for negatively associated sequences of non - identically distributed random variables, in the second chapter, is obtained and the requirement of known results are weakened to the condition that absoluted moment - larger than zero - is finite. the strong convergence of negatively associated sequences of non - identically distributed random variables is discussed in the third chapter. in the fourth chapter, after extend the laws of the iterated logarithm of strong stationary case to weak stationary case, we obtain the strong convergence rate for negatively associated sequences of non - identically distributed random variables in linear models

    其中第二章討論了一類不同分佈的na列的加權和的完全收斂性,我們把已有的結果對矩的要求放寬到了只要求大於0的絕對矩有限的情形;第三章討論了不同分佈的na列的加權和的強收斂性;第四章首先把文[ 10 ]的關于na的重對數律由強平穩的情形推廣到了弱平穩不同分佈的情形,然後得到了線性模型中不同分佈的na誤差列的收斂速度。
  8. But in more situations the random variables generating counting processes may not independent identically distributed, and in all kinds of dependent relations, negative association ( na ) and positive association ( pa ) are commonly seen. the research and apply in this aspect are rather valuable. in chap 2 we prove wald inequalities and fundamental renewal theorems of renewal counting processes generated by na sequences and pa sequences ; in chap 3 we are enlightened by cheng and wang [ 8 ], extend some results in gut and steinebach [ 7 ], obtain the precise asymptotics for renewal counting processes and depict the convergence rate and limit value of renewal counting processes precisely ; at last, in the study of na sequences, su, zhao and wang ( 1996 ) [ 9 ], lin ( 1997 ) [ 10 ] have proved the weak convergence for partial sums of stong stationary na sequences. however product sums are the generalization of partial sums and also the special condition of more general u - statistic

    但在更多的場合中,構成計數過程的隨機變量未必相互獨立,而在各種相依關系中,負相協( na )和正相協( pa )是頗為常見的關系,這方面的研究和應用也是頗有價值的,本文的第二章證明了na列和pa列構成的更新計數過程的wald不等式和基本更新定理的一些初步結果;本文的第三章則是受到cheng和wang [ 8 ]的啟發,推廣了gut和steinebach [ 7 ] )中的一些結論,從而得到了更新計數過程在一般吸引場下的精緻漸近性,對更新計數過程的收斂速度及極限狀態進行精緻的刻畫;最後,在有關na列的研究中,蘇淳,趙林成和王岳寶( 1996 ) 》 [ 9 ] ,林正炎( 1997 ) [ 10 ]已經證明了強平穩na列的部分和過程的弱收斂性,而乘積和是部分和的一般化,也是更一般的u統計量的特況,它與部分和有許多密切的聯系又有一些實質性的區別,因此,本文的第四章就將討論強平穩na列的乘積和過程的弱收斂性,因為計數過程也是一種部分和,也可以構成乘積和,這個結果為研究計數過程的弱收斂性作了一些準備。
  9. In recent years various methods of estimation about probability density function of random variable sequence that is independent and identically distributed ( abbreviated as iid. ) and large sample quality have been more discussed in research documentation

    )序列的概率密度函數的各種估計方法及其大樣本性質的研究文獻中已有很多討論,研究得最多的還是密度函數的核估計,如rosenblent , parzen , prakasarao和silverman等。
  10. 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。
  11. Strong laws of large numbers for weighted sums of identically distributed na random variables

    序列加權和的強大數律
  12. In this thesis we discuss the limit theory of negatively associated sequences of non - identically distributed random variables

    本文主要討論了有關不同分佈的na列的極限理論。
  13. Let be a sequence of independent and identically distributed random variables , with mean and variance. while the distribution function is unknown , and is large , then is a normal approximation distribution

    3設相互獨立的隨機變量服從同一分佈,已知均值為,方差為.單分佈函數未知,當充分大時,近似服從正態分佈
  14. 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。
  15. In ( ( actuarial mathematics ) ) n. l. bower etc. specially have discussed the discrete time risk model in which the premium income of per unit time is regarded as a constant, the claim amount of each period time is regarded as independent and identically distributed random variable

    N . l . bower等人在《 actuarialmathematics 》一書中專門討論了離散時間的風險模型,該模型將單位時間內收取的保費視為常數,每一時期的理賠量視為獨立同分佈的隨機變量
  16. Assuming that both the allowable stock - out and replenishment intervals are stochastic ( independent identically distributed ) variables, we give the expected profit function that the replenishment intervals comply with general distribution and the inventory can be controlled effectively by optimizing the replenishment quantity

    在假設允許缺貨、補貨間隔期是獨立同分佈的隨機變量的前提下,給出了補貨間隔期服從一般分佈的預期利潤函數,通過確定最優補貨量來有效地控制庫存。
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