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statistical dispersion造句

"statistical dispersion"是什么意思   

例句與造句

  1. This occurs frequently in measures of statistical dispersion.
  2. Here " variability " could be quantified by the variance or any other measure of statistical dispersion.
  3. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range.
  4. The range is the size of the smallest interval which contains all the data and provides an indication of statistical dispersion.
  5. Different measures of central tendency and statistical dispersion can be useful to obtain a more comprehensive analysis of the relationship between variables.
  6. It's difficult to find statistical dispersion in a sentence. 用statistical dispersion造句挺難的
  7. :What you are trying to measure is Statistical dispersion, I would recommend that you weight the same item 100 times.
  8. All the above measures of statistical dispersion have the useful property that they are "'location-invariant "'and linear in scale.
  9. This assessment involves measures of central tendency or averages, such as the mean and median, and measures of variability or statistical dispersion, such as the standard deviation or variance.
  10. then " s " is called a "'scale parameter "', since its value determines the " scale " or statistical dispersion of the probability distribution.
  11. In particular, the last of these was a pronounced element of SSMCIS, with substantial material on it present in all six courses, from measures of statistical dispersion to combinatorics to Bayes'theorem and more.
  12. The measure of statistical dispersion used to represent the distribution of a specific quantity, such as income or wealth, at a global level, among a nation's residents, or even within a metropolitan area.
  13. The statistical dispersion measures are scaled ( they do not need to be shifted because they are already centered on the mean ) by the range ( c-a ), linearly for the mean deviation and nonlinearly for the variance:
  14. For a beta distribution with equal shape parameters ? = ?, the mean is exactly 1 / 2, regardless of the value of the shape parameters, and therefore regardless of the value of the statistical dispersion ( the variance ).
  15. One way is by dividing by a measure of scale ( statistical dispersion ), most often either the population standard deviation, in standardizing, or the sample standard deviation, in studentizing ( e . g ., Studentized residual ).
  16. The mean absolute deviation around the mean is a more robust estimator of statistical dispersion than the standard deviation for beta distributions with tails and inflection points at each side of the mode, Beta ( ?, ? ) distributions with ?, ? > 2, as it depends on the linear ( absolute ) deviations rather than the square deviations from the mean.
  17. 更多例句:  下一頁

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