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Keywords: Maximum likelihood estimation
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Journal Articles
International Journal of Intelligent Computing and Cybernetics (2022) 15 (1): 144–164.
Published: 11 November 2021
... | θ ) = ∏ i = 1 k f ( m i | θ ) To improve the accuracy of the estimated parameter of distributed probability produced from the likelihood function, maximum likelihood estimation (MLE) can be applied. By assuming that the parameter has a prior distribution, Bayesian...
Journal Articles
International Journal of Intelligent Computing and Cybernetics (2016) 9 (1): 23–41.
Published: 14 March 2016
... data; the primary focus is on conspicuous and stability between analytical precision and model dependability. To run through this concept, we thought to develop the data collected from the HCI-HPR study, both in optimisation by maximum likelihood estimation (MLE). We start by modelling of the criterion...
