To complete this extra activity, you need to follow these steps:
Preparation:
- Watch Lecture 9.5 by Prof. Andrew to understand the concepts.
Data Selection:
- Choose data from the provided link or collect your own.
Notebook Creation:
- Set up a Google Colab notebook for the activity.
Histogram Generation:
- Create a histogram to visualize the data distribution.
Distribution Fitting:
- Fit a known distribution to the data for analysis.
Parameter Estimation:
- Calculate method of moments and maximum likelihood estimates for unknown parameters.
A relevant histogram to the identified data is present :
An estimator is identified by using method of moments :
ML estimator :
Approximate confidence intervals have been calculated :
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