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the one sample keeps it simpler, we had an example in class where there were n samples, and you get <math>\lambda_{ML} = \dfrac{1}{\left ( \frac{\sum_{i=1}^n x_i}{n}\right )}</math> | the one sample keeps it simpler, we had an example in class where there were n samples, and you get <math>\lambda_{ML} = \dfrac{1}{\left ( \frac{\sum_{i=1}^n x_i}{n}\right )}</math> | ||
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Latest revision as of 16:29, 11 November 2008
I'm a little confused. How does only having one sample affect the solution?
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the one sample keeps it simpler, we had an example in class where there were n samples, and you get $ \lambda_{ML} = \dfrac{1}{\left ( \frac{\sum_{i=1}^n x_i}{n}\right )} $
-Evan Clinton
