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  • What are the similarities and differences between Ordinary Least Squares and Maximum Likelihood Estimation?
  • Are they both parametric methods?
  • If we have Ordinary Least Squares, why do we need Maximum Likelihood Estimation?
  • What are the benefits of Maximum Likelihood Estimation opposed to Ordinary Least Squares?
  • What does "Ordinary Least Square needs no stochastic assumption" mean?
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    These are all questions which you will find answers to by doing a bit of reading and googling. Also you will learn a lot more by investigating these things yourself. If you have a specific point you are confused about then people will be happy to help but currently this looks like a list of assignment questions which you should be doing yourself.2017-01-17
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    These are not my assignment questions. While I am studying MLE, those came across. I have been googling, too. Of course, I am doing it by myself, but hope to get some opinions, that's all.2017-01-17

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