fleish_skurt_check {SimMultiCorrData} | R Documentation |
Fleishman's Third-Order Transformation Lagrangean Constraints for Lower Boundary of Standardized Kurtosis in Asymmetric Distributions
Description
This function gives the first-order conditions of the Fleishman Transformation Lagrangean expression
used to find the lower kurtosis boundary for a given non-zero skewness
in
calc_lower_skurt
(see Headrick & Sawilowsky, 2002, doi: 10.3102/10769986025004417). Here, is the equation for
standardized kurtosis expressed in terms of c1 and c3 only,
is the Lagrangean multiplier,
is skewness, and
is the equation for skewness expressed
in terms of c1 and c3 only. It should be noted that these equations are for
. Negative skew values are handled within
calc_lower_skurt
. Headrick & Sawilowsky (2002) gave equations for the first-order derivatives
and
. These were verified and
was calculated using
D
(see deriv
). The second-order conditions to
verify that the kurtosis is a global minimum are in fleish_Hessian
.
This function would not ordinarily be called by the user.
Usage
fleish_skurt_check(c, a)
Arguments
c |
a vector of constants c1, c3, lambda |
a |
skew value |
Value
A list with components:
If the suppled values for c and skew satisfy the Lagrangean expression, it will return 0 for each component.
References
Fleishman AI (1978). A Method for Simulating Non-normal Distributions. Psychometrika, 43, 521-532. doi: 10.1007/BF02293811.
Headrick TC, Sawilowsky SS (2002). Weighted Simplex Procedures for Determining Boundary Points and Constants for the Univariate and Multivariate Power Methods. Journal of Educational and Behavioral Statistics, 25, 417-436. doi: 10.3102/10769986025004417.
See Also
fleish_Hessian
, calc_lower_skurt