minimum mean squared error造句
例句與造句
- When the mean is not known, the minimum mean squared error estimate of the variance of a sample from Gaussian distribution is achieved by dividing by " n " + 1, rather than " n " " 1 or " n " + 2.
- While the OLS point estimator remains unbiased, it is not " best " in the sense of having minimum mean square error, and the OLS variance estimator v _ { OLS } [ \ hat \ beta _ { OLS } ] does not provide a consistent estimate of the variance of the OLS estimates.
- Further, while the corrected sample variance is the best unbiased estimator ( minimum mean square error among unbiased estimators ) of variance for Gaussian distributions, if the distribution is not Gaussian then even among unbiased estimators, the best unbiased estimator of the variance may not be S ^ 2 _ { n-1 }.
- The optimal choice of divisor ( weighting of shrinkage ) depends on the excess kurtosis of the population, as discussed at mean squared error : variance, but one can always do better ( in terms of MSE ) than the unbiased estimator; for the normal distribution a divisor of " n " + 1 gives one which has the minimum mean square error.
- It's difficult to find minimum mean squared error in a sentence. 用minimum mean squared error造句挺難的