3.2 Skewed distribution As center-based, model-based, and most hierarchical clustering algorithms require multivariate spherical clusters, substantially skewed distributions will cause issues. However, many clinical measures follow skewed distributions as distance measures also give higher weights to the tail...
Examples of the former are the cumrootf (Dalenius & Hodges, ) and geometric (Gunning & Horgan, ) methods, while examples of the latter are Sethi () and Kozak () algorithms. The approximate procedures result in inflexible stratum boundaries; this lack of flexibility results in non€ optimal...
Our experiment includes both left- and right-skewed lotteries. The results reveal that the majority of subjects are skewness avoiding risk takers who correspondingly also take more risk when facing less skewed lotteries. Our second contribution is to link these choices to individual rank-dependent ...
Kevin Anthony Stoda
Skin-versus gut-skewed homing recep- tor expression and intrinsic CCR4 expression on human peripheral blood CD4ϩCD25ϩ suppressor T cells. Eur J Immunol. 2003;33:1488-1496.Iellem, A., L. Colantonio, and D. D'Ambrosio, Skin-versus gut-skewed homing receptor expression and intrinsic CCR4...
Stratification of Skewed Populations: A Comparison of Optimisation-based versus Approximate Methodsdoi:10.1111/insr.12230Michael A. HidiroglouMarcin KozakJohn Wiley & Sons, LtdLavallee P., Hidiroglou M.A. (1988). On the stratification of skewed populations. Survey Methodology, Vol.14, pp.33-43...
In recent economic experiments, lotteries with left-skewed background risks elicit more prudent choices than lotteries with right-skewed background risks. In this letter, we use an expected utility framework to show that a skewed zero-mean background risk may induce not only prudent but also ...
GDTs may have immunoregulatory function after stem cell transplantation (SCT), but the relationship between GDT clonality and acute graft-versus-host disease (aGVHD) is not known. Methods: We prospectively studied spectratype complex complexity of TCR Vy (y) and TCR V8 (8) pre-SCT and at ...
The probability density function of the fWd has a heavy right tail. By varying the scale parameter, the skewness of the fWd can be modulated. Long-range dependence is common among real stochastic time series [4,5]. The fractional Weibull process (fWp) is derived in [6] with respect to ...
Its maximum value goes from 𝑝𝑖=0.5pi=0.5 (case of symmetry with 𝛿=0δ=0) to the left or right as the parameter 𝛿δ decreases or increases. As can be seen, the marginal effects takes on its maximum values at different probability levels depending upon the value of 𝛿δ....