Journal of Mathematics and Statistics | |
Estimating the Parameters of the Negative-Lindley Distribution using Broyden-Fletcher-Goldfarb-Shanno | Science Publications | |
Naushad M. Khan1  | |
关键词: Maximum likelihood; Negative-Lindley; Hessian matrix; Newton-Raphson; Broyden-Fletcher-Goldfarb-Shanno (BFGS); Maximum Likelihood Estimation (MLE); dispersion parameter; | |
DOI : 10.3844/jmssp.2011.1.4 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Science Publications | |
【 摘 要 】
Problem statement: The Maximum Likelihood Estimation (MLE) technique is the most efficient statistical approach to estimate parameters in a cross-sectional model. Often, MLE gives rise to a set of non-linear systems of equations that need to be solved iteratively using the Newton-Raphson technique. However, in some situations such as in the Negative-Lindley distribution where it involves more than one unknown parameter, it becomes difficult to apply the Newton-Raphson approach to estimate the parameters jointly as the second derivatives of the score functions in the Hessian matrix are complicated. Approach: In this study, we propose an alternate iterative algorithm based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) approach that does not require the computation of the higher derivatives. Conclusion: To assess the performance of BFGS, we generate samples of overdispersed count with various dispersion parameters and estimate the mean and dispersion parameters. Results: BFGS estimates the parameters of the Negative-Lindley model efficiently.
【 授权许可】
Unknown
【 预 览 】
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RO201912010160519ZK.pdf | 52KB | download |