mean square sentence in Hindi
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- This approach of minimizing integrated mean squared error can be generalized beyond Normal distributions:
- To minimize the mean squared error ( MSE ).
- This expresses the mean squared displacement in terms of the time elapsed and the diffusivity.
- Mean squared error is used for obtaining efficient estimators, a widely used class of estimators.
- The disadvantage is that the mean squared error between y and d is not minimized.
- The root mean square current fluctuation is given by
- My calculator has one of those squiggly things that means square roots _ I think.
- Hence, convergence in mean square implies convergence in mean.
- Scharr operators result from an optimization minimizing weighted mean squared angular error in Fourier domain.
- For example, the commonly used Root mean square ( RMS ) equation for gas reservoirs:
- Compared with published values, this calculation has a root mean square error of only 3.7 s.
- Well-established alternatives are the mean absolute scaled error ( MASE ) and the mean squared error.
- These values typically include averages, maxima and minima, root mean square ( RMS ) and frequencies.
- This estimator also has a uniformly smaller mean squared error than the corrected sample standard deviation.
- This information is the Root Mean Square radius of the molecule ( RMS or Rg ).
- Using the standard mean squared value decomposition
- When we use the mean squared error as distortion measure, we have ( for amplitude-continuous signals ):
- Where, MSE denotes the mean squared error.
- Until 9 / 11, it had also been used carelessly to mean square 1, a starting place.
- Secondly, the sample variance does not generally minimize mean squared error between sample variance and population variance.
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