square estimatorの例文
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- The ordinary least squares estimator for \ beta is
- His derivation included the joint limiting distribution of the least squares estimators of two parameters.
- The least squares estimator b is a regression when the residuals are heteroskedastic and / or autocorrelated.
- Given a random sample of " T " observations from this process, the ordinary least squares estimator is
- Matched filtering can also be interpreted as a least squares estimator for the optimal location and scaling of a given model or template.