The Application of Fisher Scoring Algorithm on Parameter Estimation of Normal Distributed Data
DOI:
https://doi.org/10.32734/jormtt.v3i1.8345Keywords:
Fisher Scoring, Maximum Likehood, Estimation ParameterAbstract
In statistics, parameter estimation is the estimation of a population using sample data. A population data certainly has a certain distribution. Fisher Scoring is a form of Newton's method which is commonly used in solving the maximum likelihood equation. The focus of this research is to estimate distributed data using the fisher scoring algorithm
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