Discussion on Parameters and Fixed-Order Problem of Mixed Normal(MN) Distribution Based on EM Algorithm 基于EM算法的混合正态分布的参数求解及定阶问题的探讨
The Study of Correlated Robust Estimation Function Model Based on Mixed Normal(MN) Distribution 从混合正态分布的角度研究相关稳健估计函数模型
This part introduces two parameter method, one is the GARCH models, the other is the mixed normal distribution based on Risk Metrics model, and also introduce two non-parametric methods called historical simulation and Monte Carlo simulation. 该部分中主要介绍了GARCH族模型和基于RiskMetrics的混合正态分布两种参数方法,以及历史模拟法和蒙特卡罗模拟法两种非参数方法。
Adsorption from solutions ⅵ. adsorption of single and mixed normal aliphatic alcohols from carbon tetrachloride solutions by silica gel 自溶液中的吸附&Ⅵ.硅胶自四氯化碳中同时吸附多种脂肪醇的研究
Robustness Least Squares Estimator of Mixed Normal(MN) Distribution 混合型正态分布的抗差最小二乘估计