iterated logarithm 中文意思是什麼

iterated logarithm 解釋
疊對數
  • logarithm : n 【數學】對數。 common logarithms 常用對數。 general logarithms 普通對數。 natural logarithm自然...
  1. A law of the iterated logarithm for the heavily trimmed sums

    重截和的重對數律
  2. The bounded law of the iterated logarithm for sequen

    隨機變量列的有界重對數律
  3. 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。
  4. Law of the iterated logarithm of quantile density estimator for left truncated and right censored data

    左截斷右刪失數據下分位密度估計的重對數律
  5. Law of iterated logarithm for markov chains in markovian environments

    馬氏環境中馬氏鏈的重對數律
  6. Law of the iterated logarithm for nonstationary negatively associated random fields

    隨機變量域的重對數律
  7. The law of iterated logarithm of

    氏重對數律
  8. Precise asymptotic in the laws of large numbers and law of iterated logarithm for some statistics

    一類統計量的強大數律和重對數律的精確極限性質
  9. 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。
  10. In this paper, sufficient conditions are given for applicability of the law of the iterated logarithm for self - normalized sums of independent random vectors

    摘要本文給出了獨立隨機向量序列自正則和的重對數律成立的一個充分條件。
  11. We have been familiar with " the law of iterated logarithm of kolmogorov " and " the law of iterated logarithm of hartman - wintner ". this paper will mainly discuss the law of iterated logarithm for some kind weighted partial sum

    各種文獻中對獨立隨機變量序列重對數律已有深入討論，我們已熟知「 kolmogorov重對數律」及「 hartman - wintner重對數律」 。
  12. 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。
  13. The paper consists of two chapters. in the first chapter, theory 1 [ 1 ] mainly by using the method of the law of the iterated logarithm with finite partial sum in wiener process proves hartman - wintner [ 1 ] law of the iterated logarithm for special finite partial weight sums

    本文正文分兩部分，定理1主要利用[ 1 ] wiener過程下的有限項部分和的重對數律，把hartman - wintner重對數律[ 1 ]推廣到對特殊加權部分和也成立。
  14. 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。
  15. By employing de finetti theorem, in chapter two we discuss the limit behaviour of interchangeable random variables squences, mainly including the convergence rates in the central limit theorem and the law of the iterated logarithm

    第二章主要討論了可交換隨機變量序列的極限性質，具體包括中心極限定理的收斂速度和重對數律，所得的結論補充了可交換隨機變量極限理論方面的結果。
  16. The law of the iterated logarithm is a kind of profound result on the limit theory, it make the strong law of large numbers exact

    重對數律是概率極限理論中一類極為深刻的結果，是強大數律的精確化。
  17. This dissertation consists of five chapters, in which we discuss the complete convergence and the iterated logarithm under dependent random variables

    本文分為五章，討論了在相依變量的情形下的完全收斂性和重對數律。
  18. It is an extension of " the law of iterated logarithm of kolmogorov ". in the course of proving, we extend two lemmas and use the relating results of partial sum increment of independent r. v

    本文主要討論獨立隨機變量某種加權和重對數律，它是「 kolmogorov重對數律」的推廣。在證明過程中，首先推廣了兩個引理，並用到了部分和增量的有關結果。
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