1.
Predicting Large Amount of Accrued Payables To Redeem Open-End Funds by Truncation Distribution;
基于截尾分布理论预测开放式基金大额赎回量
2.
The Estimation and Test in Gee Method When PA Condition is Volidated;
截尾分布下饱和析因设计数值分析法的比较研究
3.
Reliability Analysis for Pareto Distribution under Type-Ⅱ Doubly Censored Sample
双边定数截尾下Pareto分布的可靠性分析
4.
Study on Consistency for the Kernel Estimator of a Life Distribution Under Random Censorship
截尾样本核分布估计的强相合性研究
5.
Bayesian Statistical Inference of Exponential Distribution under the Condition of Censoring;
截尾情形下指数分布的Bayes统计推断
6.
The Bayesian Procedure of the Minimum Posterior Risk Based on Transversal Normal Distribution;
截尾正态分布的最小后验风险Bayes推断
7.
Estimation of the Parameter of Geometric Distribution under Type-Ⅱ Censoring
定时截尾情形下几何分布参数的估计
8.
The EM Algorithm of Parameter Estimation of Weibull Distribution under Type-I Censoring Sample
定时截尾下Weibull分布参数估计的EM算法
9.
Moment Estimation of the Two -parameter Weibull Distribution Under Multiply Type-I
定时截尾Weibull分布的双参数的矩估计
10.
3-parameter Weibull distribution for random truncated NC machine tool fault data
随机截尾数控机床三参数威布尔分布模型
11.
Statistical Analysis of the 2-Parameter Pareto Distribution in Random Censoring Life Test;
随机截尾寿命试验两参数Pareto分布的Bayes统计分析
12.
Bayesian Analysis for a Mixture of Parato Distributions with Two Parameters from Censored Data
截尾数据下混合双参数Parato分布的Bayes分析
13.
An Statistical Analysis of Accelerated Life Test under Two Parameters of Exponential Distribution on Type Ⅱ Censoring
定数截尾下指数分布加速寿命试验的统计分析
14.
Statistical Inference of Exponential Distribution under the Condition of Multiply Type-I Censoring;
定时截尾缺失数据下指数分布的统计推断
15.
Truncated Normal Distribution Theory and Engineering Application;
截尾正态分布理论及其在机械工程上的应用
16.
The Bayesian Inference of Minimum Posterior Risk Based on Pareto Distribution under Type-II Censoring;
定时截尾Pareto分布最小后验风险的Bayes推断
17.
Determining the Optimum Process Mean for Truncated Normal Distribution;
基于截尾正态分布的最优过程均值的确定
18.
Estimations for Two-parametered Exponential Distribution under Censored and Missing Data
截尾缺失数据下双参数指数分布的参数估计