Extension and Parameter Estimation of Generalized Exponential Geometric Distribution
Based on the generalized exponential geometric distribution,a new life distribution is proposed by extending the parameters.This extension is intended to enhance the model's ability to fit some data,so that life prediction and reliability analysis can be performed more accurately.Parameter estimation for the newly proposed distribution is performed by using the method of maximum likelihood estimation,and the complex estimation issues are solved through Newton's iterative method.Sample data are estimated and compared with actual observational data.The model's goodness of fit is compared with that of other models through the AIC and BIC values,and the results indicate that the newly proposed extended generalized exponential geometric distribution performs well in fitting observational data.
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