estimate by a interval 中文意思是什麼
estimate by a interval
解釋
區間估計-
Firstly, by numerical and theoretical analysis, the author compares some existent confidence intervals, for example, " exact " confidence interval, wald confidence interval and bayesian confidence interval, and finds some deficiencies points of the confidence intervals, whose modification version has been proposed. also, several better confidence intervals such as are also presented. secondly, for given confidence coefficient and interval width, the author constructs a class of asymptotical two - stage interval estimate procedures. at the same time, under varies restriction of confidence coefflcientent interval width, the optional sample size of the first stage has been computed by numerical computation. the numerical computation shows that the method considered in this dissertation have good properties and applied value
同時，由於poisson分佈的特性，我們知道不存在其參數區間長度小於0 . 5的置信區間，基於這些情況，我們主要展開了以下兩個方面的研究：一是利用數值計算分析與理論分析的方法對現有的若干置信區間如「精確」置信區間， wald置信區間， bayes置信區間等進行分析比較，發現了一些缺陷，針對這些缺陷，我們進行適當的修正，並得到幾種性質較好的置信區間如：修正大樣本區間jeffreys原則下置信區間二是針對已給定的置信系數與區間長度，我們提出了一種漸近的兩階段區間估計程序，並利用數值計算的方法，在各種置信系數與區間長度限定下，算出了最優的第一階段觀測次數（抽樣量） ，大量數據表明，本文考慮的方法性態良好，具有應用價值。 -
In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate
鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。 -
We chose suitable tcp throughput model to estimate the available bandwidth correctly, using the estimated round trip time and packet loss ratio for the next time interval as parameters of the model to achive the accuracy of estimated network bandwidth. as the observed losses and round trip time vary very dynamically, adjust the sending rate equivalent to the amount of tcp throughput may result in a rather fluctuant sending rate. so we present a rate adjustment like tcp congestion control based on aimd, which increases its sending rate by an additive inereease rate
根據mpeg4視頻流應用的特點，選擇合適的吞吐量模型，進行合理的參數估計，並根據計算出的帶寬進行相應的速率調整來實現擁塞控制，我們使用未來rtt的估計值和分組丟失率的估計值作為吞吐量模型的參數，增強了控制的實時性，弱化了業務的振蕩性，提高了帶寬預測的準確性；在進行速率調整時，不是簡單地將發送速率調整到與tcp吞吐量模型一致，而是採用類似tcp的aimd策略來調節發送速率，減小了發送速率的振蕩性。 -
By computer sampling the long periodic sequence and estimate the confidence interval, we can conclude the cross correlation value of long periodic sequence is biger than 0. 03 with a probability lower than 10 - 7. this thesis also presents a new quick acquisition method of long periodic non - linear codes used in the satellite navigation and positioning signal ( snps )
通過計算機采樣數據和區間估計，對于超長偽隨機序列可以以99 . 99的概率確信，在2048相關長度的條件下，長碼的局部互相關值超過0 . 03的概率低於10 ~ （ - 7 ）數量級。
分享友人