Statistical Analysis of Series System Shielding Data with Two-parameter Maxwell Distribution
In the study of system life,the phenomenon of shielding of system data is likely to occur due to the non-defective nature of the data,so it is of great significance to carry out effective statistical analysis and estimation of the system.The maximum likelihood estimation and approximate interval estimation of scale parameters are given for a system with two components in series and shielding,where the life of the components is subject to two-parameter Maxwell distribution and the shape parameters are known.The existence and uniqueness of the maximum likelihood estimation are proved theoretically.Finally,the feasibility of the method is illustrated by two Monte Carlo simulation examples.
parallel systemmasked datamaximum likelihood estimationinterval estimationmaxwell distributionMonte carlo
万方数据
维普
