威布尔分布
对数正态分布
混合模型
拟合优度
统计
期望最大化算法
数学
伽马分布
数据集
最大似然
可靠性(半导体)
混合物分布
统计模型
广义伽马分布
概率密度函数
功率(物理)
物理
量子力学
作者
Sudhir Kumar,Madhu Jain
标识
DOI:10.1007/s40009-023-01287-y
摘要
The objective of this investigation is to provide framework to construct a threefold mixture model and its shifted version using Weibull, lognormal, and gamma distributions. The proposed models are examined by establishing the statistical and reliability indices. The parameter estimation using the maximum likelihood estimation method (MLE) and expectation-maximization has been proposed. The usefulness of the shifted mixture models by fitting them into the actual data set has revealed. The goodness-of-fit tests are used to compare the mixture models for the real-life data. Based on statistical testing, it is established that for small data set, shifted mixture model is the best fitted model in comparison with other single and mixed mixture distributions.
科研通智能强力驱动
Strongly Powered by AbleSci AI