"square" in inglés with examples - Collocation dictionary inglés
- The attractiveness of different estimators can be judged by looking at their properties, such as unbiasedness, mean square error, consistency, asymptotic distribution, etc..
- For example, by minimizing the least absolute error rather than the least square error.
- Efficiencies are often defined using the variance or mean square error as the measure of desirability.
- This estimate is always biased; however, it usually has a smaller mean square error.
- This is because the goal of the neural network is to minimize coding cost, not root mean square error.
- One measure of closeness is the sum of square errors:
- This is known as the minimum mean square error (MMSE) estimator.
- However, one can use other estimators for which are proportional to , and an appropriate choice can always give a lower mean square error.
- Computing the minimum mean square error then gives .
- The most common test, the t-test, divides the abnormal returns through the root mean square error of the regression.
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