Meanwhile,global influence diagnostics for log-generalized-power-Weibull regression models is dicussed in detail based on case-deletion model(CDM).
基于冪廣義威布爾模型,文章給出了對數(shù)冪廣義威布爾回歸模型并研究了相應(yīng)的參數(shù)估計。
Relation between Correlation and Power-law Distribution of Multiscale for Chinese Stock Market;
中國股市多標度的冪律分布與相關(guān)性關(guān)聯(lián)研究
It is thought that the loose slope itself evolves towards the critical state,and the evolution features present two kinds of different kinetics actions:for uniform-granule loose slope,its large scale avalanches obeying quasi-cycle distribution,for non-uniform-granule loose slope,its avalanches obeying power-law distribution,and arising self-organization criticality .
認為松散邊坡自發(fā)地向臨界狀態(tài)演化 ,其演化特征表現(xiàn)為兩種不同的動力學(xué)行為 :對于顆粒均勻的松散邊坡 ,其大規(guī)模的坍塌呈現(xiàn)準周期分布 ,而顆粒不均勻的松散邊坡 ,坍塌的規(guī)模服從冪律分布 ,出現(xiàn)自組織臨界性。
By analyzing degree distribution properties in the topology,the inherent power-law distribution.
分析了AS級拓撲的度分布屬性,分析結(jié)果顯示生成的拓撲具有冪律分布特性。
Based on the computation to the model of statistics, we found out that these indexes obey the power law approximatively on different scales, they are the reflections of the distributions and evolving characters of the social and economical phenomena on the Web.
通過統(tǒng)計模型計算發(fā)現(xiàn),這些以網(wǎng)民/網(wǎng)頁使用的語言為分類的指標,在不同尺度上近似地遵守冪律分布,反映了網(wǎng)絡(luò)世界中社會、經(jīng)濟現(xiàn)象的分布與演化特征。
The characteristics of power law of non-scale network are applied to improve the structured P2P overlay.
利用無標度網(wǎng)絡(luò)的冪律分布特性對結(jié)構(gòu)化P2P覆蓋網(wǎng)進行改進,提出基于冪律分布的BAChord模型,利用節(jié)點的連接度和物理鄰接度的信息,使覆蓋網(wǎng)與物理拓撲結(jié)構(gòu)之間能夠達到一定程度的匹配,增加路由過程中發(fā)現(xiàn)連接短鏈的概率。
A common property of many large networks is that the vertex degrees follow a scale-free power-law distribution, The BA model features two generic mechanisms: the networks expanding and the pref.
實際網(wǎng)絡(luò)中節(jié)點分布的一個廣泛特征是度的無標度冪率分布,BA模型認為形成這種特征的兩個主要因素是網(wǎng)絡(luò)增長和節(jié)點間的偏好連接。
Numerical simulations indicate that this network model yields three power-law distributions of the node degrees,node strengths and connection weights.
許多實證復(fù)雜網(wǎng)絡(luò)的度分布和點權(quán)分布表現(xiàn)為低頭和胖尾的冪率分布。
In this paper,the formula of Expect Bayes estimation of the reliability under entropy loss function for geometric distribution have been given,when the prior distribution of the reliability is power distribution and βdistribution.
研究幾何分布可靠度的先驗分布分別為β分布和冪分布時,在熵損失函數(shù)下給出了可靠度的EB估計,并結(jié)合實際數(shù)據(jù)比較了兩種先驗分布下估計值的精度。
In this paper,for negative Binomial distribution,the Bayesian estimation of reliability under entropy loss function is given,and on the base,the E-Bayesian estimation and hierarchical Bayesian estimation of θ are given when the prior distribution of θ is power distribution.
對負二項分布,給出可靠度在熵損失函數(shù)下的Bayes估計,在此基礎(chǔ)上給出當先驗分布為冪分布時,可靠度的E-Bayes估計和多層Bayes估計,并設(shè)計了相應(yīng)的數(shù)值實驗,實驗結(jié)果表明負二項分布可靠度的E-Bayes估計較多層Bayes估計穩(wěn)健性更好,計算更簡單,便于實際應(yīng)用。
Global Influence Analysis of Log-generalized-power-Weibull Regression Models
對數(shù)冪廣義威布爾回歸模型的全局影響分析
Generalized p Value Test for Regression Coeffcients in Panel Data Model
Panel數(shù)據(jù)模型中回歸系數(shù)的廣義p值檢驗
Parameter-optimized rotated general regression neural network model
一種參數(shù)優(yōu)化旋轉(zhuǎn)廣義回歸神經(jīng)網(wǎng)絡(luò)模型
Unbiased Estimation and Application of Parameters of Power and Exponential Functions;
冪函數(shù)和指數(shù)函數(shù)回歸模型參數(shù)的無偏估計及應(yīng)用
Study on Simulating the Geographical Distributions of Common Tree Species in China Based on Generalized Models and Classification and Regression Tree;
基于廣義模型和分類回歸樹的中國常見樹種地理分布模擬研究
General Regression Neural Network Forecasting Model of Stock Index Based on Behavioral Parameters of Investors;
基于投資者行為參數(shù)的股票指數(shù)廣義回歸神經(jīng)網(wǎng)絡(luò)預(yù)測模型
Ridge Estimate on Moore-Penrose Inverse Matrix of Generalized Linear Regression Model
廣義線性回歸模型的Moore-Penrose逆陣嶺估計
Studies of Maximum Likelihood Estimators of Parameters of the Generalized Linear Regression Model with Convex Constraints;
凸約束廣義線性回歸模型參數(shù)的極大似然估計研究
The Superiority of Generalized Ridge Estimation of Regression Parameter in Growth Curve Model under Pitman Closeness Criterion;
PC準則下生長曲線模型回歸參數(shù)陣廣義嶺估計的優(yōu)良性
Generalized Least Squares Estimates of Parameters In Heteroscedastic Regression Model under Linear Constraint
線性約束下的異方差回歸模型參數(shù)的廣義最小二乘估計
3-parameter Weibull distribution for random truncated NC machine tool fault data
隨機截尾數(shù)控機床三參數(shù)威布爾分布模型
Generalized semi-lock resolution in boolean operator fuzzy logic
布爾算子模糊邏輯中的廣義半鎖歸結(jié)原理
Modeling and Application of Generalized Autoregressive Conditional Density based on JSU Distribution;
基于JSU分布的廣義自回歸條件密度建模及應(yīng)用
The errors are less as comparing the test data with regressive curve and simulative curve from test parameters using the power function model.
用冪函數(shù)模型描述的回歸曲線以及根據(jù)試驗參數(shù)得到模擬曲線與試驗值比較誤差均較小。
This model leads to a conclusion that these generalized collaboration networks usually have a degree distribution between the power law and the exponential function.
這個模型顯示這類廣義的合作網(wǎng)絡(luò)一般具有處于冪函數(shù)和指數(shù)函數(shù)這兩種極端情況之間的度分布.
A Generalized Spectral Density Test of Conditional Autoregressive Heteroscedasticity for Threshold Autoregressive Model;
門限自回歸模型中自回歸條件異方差的廣義譜密度檢驗
Mining Boolean and General Fuzzy Weighted Association Rules Database
數(shù)據(jù)庫中布爾型及廣義模糊加權(quán)關(guān)聯(lián)規(guī)則的挖掘
Combining Generalized Ridge and Principal Correlation Estimation of the Regression Parameters and Its Optimality
回歸系數(shù)的廣義嶺型主相關(guān)估計及其優(yōu)良性