We explain how to fit continuous parametric models using the method of maximum likelihood. We then demonstrate this approach by fitting exponential and Gaussian models to two real-world datasets.
Probability and statistics book: https://a.co/d/7k259eb
Website with free preprint, videos, slides and solutions to exercises: https://www.ps4ds.net
Slides for this video: https://github.com/cfgranda/ps4ds/blob/main/slides/continuous%20variables/maximum_likelihood_continuous_models_handout.pdf
Code:
https://github.com/cfgranda/ps4ds/blob/main/continuous_variables/height_distribution.ipynb
https://github.com/cfgranda/ps4ds/blob/main/continuous_variables/call_center_interarrival_times.ipynb
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Fitting Continuous Models to Data via Maximum Likelihood | NatokHD