However, following logarithmic transformations of both area and population, the points will be spread more uniformly in the graph.
2.
This feature is not common in other distribution-fitting software which normally include only a logarithmic transformation of data obtaining distributions like the lognormal and loglogistic.
3.
Expected values for logarithmic transformations ( useful for maximum likelihood estimates, see section titled " Parameter estimation, Maximum likelihood " below ) are discussed in this section.
4.
This usually occurs in cases where the function of interest is composed of a product of a number of parts, so that a logarithmic transformation will turn it into a sum of separate parts ( which is much easier to differentiate ).
5.
The Human Development Index takes into consideration a number of development and well-being factors that are not taken into account in the calculation of GDP and GNP . The Human Development Index is calculated using the indicators of life expectancy, adult literacy, school enrollment, and logarithmic transformations of per-capita income.
6.
The reason for this is that the logarithmic transformation strongly weights the values of " X " close to zero, as ln ( " X " ) strongly tends towards negative infinity as " X " approaches zero, while ln ( " X " ) flattens towards zero as.
7.
The variances and covariance of the logarithmically transformed variables " X " and ( 1 " " X " ) are different, in general, because the logarithmic transformation destroys the mirror-symmetry of the original variables " X " and ( 1 " " X " ), as the logarithm approaches negative infinity for the variable approaching zero.
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