The process of estimating the parameters of a probability distribution based on observed data is known as _______.
- Bayesian Inference
- Hypothesis Testing
- Maximum Likelihood Estimation
- Regression Analysis
Maximum Likelihood Estimation (MLE) is the process of finding the values of parameters that maximize the likelihood of observed data. It's a fundamental concept in statistics for parameter estimation.
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