Skewed Reflected Distributions Generated by the Laplace Kernel
DOI:
https://doi.org/10.17713/ajs.v38i1.259Abstract
In this paper we construct some skewed distributions with pdfs of the form 2f(u)G(¸u), where ¸ is a real number, f(¢) is taken to be a Laplace pdf while the cdf G(¢) comes from one of Laplace, double Weibull, reflected Pareto, reflected beta prime, or reflected generalized uniform distribution. Properties of the resulting distributions are studied. In particular, expressions for the moments of these distributions and the characteristic functions are derived. However, as some of these quantities could not be evaluated inclosed forms, special functions have been used to express them. Graphical illustrations of the pdfs of the skewed distributions are also given. Further, skewness-kurtosis graphs for these distributions have been drawn.
References
Abramowitz, M., and Stegun, I. A. (1972). Handbook of mathematical functions with formulas, graphs, and mathematical tables. New York: Dover.
Ali, M. M., Pal, M., and Woo, J. (2008). Skewed reflected distributions generated by reflected gamma kernel. Pakistan Journal of Statistics, 24, 77-86.
Ali, M. M., andWoo, J. (2006). Skew-symmetric reflected distributions. Soochow Journal of Mathematics, 32, 233-240.
Ali, M. M., Woo, J., Pal, M., and Wahed, A. S. (2008). Some skew-symmetric double inverted distributions. International Journal of Statistical Sciences, 7, 1-12.
Arnold, B. C., and Beaver, R. J. (2000a). Some skewed multivariate distributions. American Journal of Mathematical and Management Sciences, 20, 27-38.
Arnold, B. C., and Beaver, R. J. (2000b). The skew-Cauchy distribution. Statistics and Probability Lettters, 49, 285-290.
Arnold, B. C., Beaver, R. J., Groeneveld, R. A., and Meeker, W. Q. (1983). The nontruncated marginal of a truncated bivariate normal distribution. Psychometrika, 58, 471-488.
Azzalini, A. (1985). A class of distributions which includes the normal ones. Scandinavian Journal of Statistics, 12, 171-178.
Azzalini, A. (1986). Further results on a class of distributions which includes the normal ones. Statistica, 46, 199-208.
Azzalini, A., and Capitanio, A. (1999). Statistical applications of the multivariate skewnormal distribution. Journal of the Royal Statistical Society, Series B, 61, 579-602.
Azzalini, A., and Dalla Valle, A. (1996). The multivariate skewed normal distribution. Biometrika, 83, 715-726.
Balakrishnan, N., and Ambagaspitiy, R. S. (1994). On skew-Laplace distributions (Tech. Rep.). Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.
Dudewicz, E. J., and Mishra, S. N. (1988). Modern Mathematical Statistics. New York: John Wiley and Sons, Inc.
Gradshteyn, I. S., and Ryzhik, I. M. (1965). Tables of Integrals, Series and Products. New York: Academic Press.
Gupta, A. K., Chang, F. C., and Huang, W. J. (2002). Some skew-symmetric models. Random Operators and Stochastic Equations, 10, 133-140.
Hill, M. A., and Dixon, W. J. (1982). Robustness in real life: a study of clinical laboratory data. Biometrics, 38, 377-396.
Mukhopadhyay, S., and Vidakovic, B. (1995). Efficiency of linear bayes rules for a normal mean: skewed priors class. The Statistician, 44, 389-397.
Nadarajah, S., and Kotz, S. (2003). Skewed distributions generated by the normal kernel. Statistics and Probability Lettters, 65, 269-277.
Nadarajah, S., and Kotz, S. (2004). Skewed distribution generated by the Laplace kernel. American Journal of Mathematical and Management Sciences, 24, 321-349.
Oberhettinger, F. (1974). Tables of Mellin Transforms. New York: Springer-Verlag.
O’Hagan, A., and Leonard, T. (1976). Bayes estimation subject to uncertainty about parameter constraints. Biometrika, 63, 201-203.
Wahed, A. S., and Ali, M. M. (2001). The skewed logistic distribution. Journal of Statistical Research, 35, 71-80.
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