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http://ir.library.ui.edu.ng/handle/123456789/5325
Title: | On the maximization of the likelihood function against Iogarithmic transformation |
Authors: | Obisesan, K. O. Udomboso, C. G. Osowole, O. I. Alaba, O. O. |
Issue Date: | 2008 |
Abstract: | We consider maximum likelihood estimation logarithmic transformation irrespective of mass of density functions. The estimators are assumed to be consistent, convergent and existing. They are referred to as asymptotically minimum-variance sufficient unbiased estimators (AMVSU). We find that the likelihood function gives accurate result when maximized than the log-likelihood. This is because logarithmic transformation has potential problems. We consider a uniform case where the parameter 0 cannot be estimated by calculus but order-statistics. We fit a truncated Poison distribution into data on damaged done after estimating λ by a Newton-Raphson Iterative Algorithm. |
URI: | http://ir.library.ui.edu.ng/handle/123456789/5325 |
Appears in Collections: | Scholarly works |
Files in This Item:
File | Description | Size | Format | |
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(11) ui_art_obisesan_on_2008.pdf | 3.17 MB | Adobe PDF | View/Open |
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