The use of FHL for a skewed distribution
raises another concern.
Simulations showed that for both the gaussian and the skewed distributions
, the actual coverage was 91-93%, i.
And, the most common error in identifying a skewed distribution
was choosing histograms possessing different means as compared to the reference histogram, regardless of the degree of symmetry of the distribution.
A statistical article discussing several options for RCVs in skewed distributions
is in preparation.
This perspective raises a set of questions that must be answered before we can draw an ethical line between eating food that is tasty and food that is offered as a gratuity: Is it acceptable to have a skewed distribution
because the source of the skewing is a benign one such as consumer preference?
In a positively skewed distribution
, the mode is a lower value than the median, which is lower than the mean.
For skewed distributions
like these, the median has been suggested to be more appropriate than the mean since the median assigns equal weights regardless of their location or actual values, and as a result, a data point in the tail would have the same effect as one in the main part of the distribution (Freund and Wilson ; Steel and Torrie ).
1])] displays excellent power against skewed distributions
but has low power against symmetric distributions.
The Box-Cox transformation failed to make negatively skewed distributions
syininetric (see the coefficients of skewness in the top panel of Fig.
After exclusion of one outlier and logarithmic transformation of the data (required because of the skewed distributions
of the NT-proBNP data), the analytical ([CV.
A spokesperson explained that realistic field applications were used as the basis for demonstrating statistical tests, hypothesis tests were explained in light of data with non-detects, outliers, and skewed distributions
, and methods for estimation and prediction were illustrated along with
There is no doubt that this book offers a worthwhile experience to its readers, especially for people (academics and practitioners) who are confronting the measurement and management of asymmetric uncertainty and downside risk, or skewed distributions