Lindley-geometric (LG) distribution is generated by compounding Lindley and geometric distribution. We tackle the problem of estimating parameters for LG distribution. For this purpose maximum likelihood, least-squares, weighted least-squares, Anderson-Darling and Crámer–von-Mises are used in order to estimate the two parameters of LG distribution. We also consider an extensive Monte Carlo simulation study to evaluate these methods according to the biases and mean-squared errors (MSEs). Finally, eight real data applications are presented.
Estimation of parameter Geometric distribution Lindley distribution Lindley-geometric distribution Monte Carlo simulation
Primary Language | English |
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Journal Section | Articles |
Authors | |
Publication Date | June 29, 2021 |
Published in Issue | Year 2021 Volume: 22 Issue: 2 |