logarithm series 中文意思是什麼
logarithm series
解釋
對數級數-
We can find a polynomial model of a time series in case its associated matrix is not diagonal and not of full rank by using the transformations of the exponential and the logarithm
對于不能對角和不滿秩的時間序列矩陣，運用指數對數的可逆變換及相關的列變換化為滿秩可對角的時間序列矩陣，從而找到代數多項式模型。 -
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。 -
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 -
The commonly used quantitative forecasting method mainly includes the model of time series and cause - effect model, which need to set up corresponding mathematics model according to the historical materials and to makes prediction of the development trend of the logarithm row
常用的定量預測方法主要包括時間序列模型和因果模型。這些模型都是根據歷史資料建立相應的數學模型，對數列的發展趨勢做出預測。
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