尾隨序列 的英文怎麼說
中文拼音 [wěisuíxùliè]
尾隨序列
英文
tailer sequence-
In this paper, two questions on exetreme value theory are investigated as follows : i. the asymptotic properties of the large quantile and endpoint of a distribution : let { xi } be an i. i. d random sequence with common distribution f ( x ) which is unknown. denote mn ( k ) as the k - th maxima of x1 … xn
本文對極值理論的兩個問題進行了探討：一、大分位數與尾端點的漸近性質設{ x _ i }是來自未知分佈f （ x ）的i . i . d的隨機序列。Another strong convergence theorem is obtained by using the truncation method and conditional three series theorem
通過利用截尾方法和條件三級數定理，得到了在更高階條件下的任意隨機適應序列的強收斂定理。In chapter l, we introduce the relative background on this paper and give some simple expressions of the work which have been studied. in chapter 2, in virtue of the notion of likelihood ratio the limit properties of the sequences of dependent nonnegative continuous random variables are studied, and a class of strong limit theorems represented by inequalities are obtained. the bounds given by these theorems depend on positive constant c. in chapter 3, by means of the notion of log likelihood ratio, a kind random strong deviation theorem are obtained, and the bounds given by these theorems depend on r ( )
第一章，介紹本論文的選題背景，對已有的工作進行扼要的介紹；第二章，利用似然比的概念研究相依連續型非負隨機變量序列的極限性質，得到一類強偏差定理，其偏差界依賴于正常數c ；第三章，利用對數似然比的概念得到一類隨機偏差定理，其偏差界依賴于r （ ） ，證明中引進了尾概率和尾概率的laplace變換的概念；第四章，利用對數似然比的概念，得到了一類關于任意連續型隨機變量序列的泛函的強偏差定理。A class of strong convergence theorem for an arbitrarily adapted stochastic sequence without the non - decrease condition was established by using the truncation method of stochastic variables and the stop time
摘要引入了隨機變量的截尾和停時的概念，在定理條件及其證明過程中適當地定義隨機變量的截尾和停時，並通過定義鞅差序列和利用鞅差序列的收斂定理，得到了一類關于任意隨機適應序列的強收斂定理。Some limit properties of sequences of arbitrary b - valued random variables are studied by using truncation methods of random variables and conditional three series theorem, a class of strong limit theorems and convergence theorems for martingale difference sequences related to the conditional expectations are obtained, and some conclusions corresponding to these and some classical strong laws of large numbers are generalized
摘要利用隨機變量的截尾方法和條件三級數定理，研究任意b值隨機變量序列的極限性質，得到了一類關于條件期望的強極限定理和鞅差序列收斂定理，推廣了與此相應的一些結果和若干經典的強大數定律。Su chun, shao qi - man solved the problem, we investigate the relations between the convergence of tail probability series and the existence of some type of the moment for partial sums of interchangeable random variables and positive monotone functions, we answer the three questions for interchangeable random variables, our results are new and we obtain a series of sufficient and equivalent results. in section 4 we give the law of interated logarithm for interchangeable random variables, and obtain the following main results
藝闊8藝潤、藝側蘇淳、邵啟滿解決了pi ， ollorov提出的這一問題，這一節我們通過討論可交換隨機變量序列的部分和關于正值單調函數的尾概率級數的收斂性和某種形式矩的存在性之間的關系，回答了在一定條件下可交換隨機變量關于這三個問題的一些結果，這些結果是全新的，並得到了一系列充分性和等價性結論分享友人