squared deviations造句
例句與造句
- Directly taking the variance of the sample data gives the average of the squared deviations:
- The calculation of the sum of squared deviations can be related to moments calculated directly from the data.
- More properly, it is the "'partitioning of sums of squared deviations or errors " '.
- The change in structure is measured by calculating the root mean square deviation from the backbone atomal position of the favored structure.
- For this reason, describing data sets via their standard deviation or root mean square deviation is often preferred over using the variance.
- It's difficult to find squared deviations in a sentence. 用squared deviations造句挺難的
- Most simply, the sample variance is computed as an average of squared deviations about the ( sample ) mean, by dividing by " n ."
- Economists have criticized the accuracy of standard deviation as a risk indicator for its uniform treatment of deviations, be they positive or negative, and for automatically squaring deviation values.
- Here " at " + " b " is the trend line, so the sum of squared deviations from the trend line is what is being minimized.
- The variance itself is defined in terms of two expectations : it is the expected value of the squared deviation of the variable's value from the variable's expected value.
- Another method of specifying spectral width is a special case of root-mean-square deviation where the independent variable is wavelength, ?, and " f " ( ? ) is a suitable radiometric quantity.
- The structure of the nucleosome core particle is remarkably conserved, and even a change of over 100 residues between frog and yeast histones results in electron density maps with an overall root mean square deviation of only 1.6?
- Classical objective functions include the sum of squared deviations between experimental and numerical data, as in the least squares methods, the sum of the magnitude of the difference between field and numerical data, or some variant of these definitions.
- Suppose the policy maker cares about the expected squared deviation of GDP from a preferred value y _ d; then its loss function " L " is quadratic so that the objective function, expected loss, is given by:
- As in regular least squares, the goal is to estimate the unknown parameters in the regression function by finding values for parameter estimates that minimize the sum of the squared deviations between the observed responses and the functional portion of the model.
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