We study the class of logarithmic skew-normal (LSN) distributions.
They have heavy tails; however, all their moments of positive integer
orders are finite. We are interested in the problem of moments for
such distributions. We show that the LSN distributions are all
nonunique (moment-indeterminate). Moreover, we explicitly describe
Stieltjes classes for some LSN distributions; they are families of
infinitely many distributions, which are different but have the same
moment sequence as a fixed LSN distribution.
References
Akhiezer, N. I. (1965). The Classical Moment Problem and Some Related Questions in Analysis. Hafner Publishing, New York.
Mathematical Reviews (MathSciNet):
MR184042
Arnold, B. C. and Beaver, R. J. (2000). Hidden truncation models. Sankhyā A 62, 23--35.
Arnold, B. C. and Lin, G. D. (2004). Characterizations of the skew-normal and generalized chi distributions. Sankhyā 66, 593--606.
Azzalini, A. (1985). A class of distributions which includes the normal ones. Scand. J. Statist. 12, 171--178.
Mathematical Reviews (MathSciNet):
MR808153
Azzalini, A., Dal Cappello, T. and Kotz, S. (2003). Log-skew-normal and log-skew-$t$ distributions as models for family income data. J. Income Distribution 11, 12--20.
Azzalini, A. and Dalla Valle, A. (1996). The multivariate skew-normal distribution. Biometrika 83, 715--726.
Chai, H. S. and Bailey, K. R. (2008). Use of log-skew-normal distribution in analysis of continuous data with a discrete component at zero. Statist. Med. 27, 3643--3655.
Gradshteyn, I. S. and Ryzhik, I. M. (2000). Tables of Integrals, Series, and Products, 6th edn. Academic Press, San Diego, CA.
Henze, N. (1986). A probabilistic representation of the `skew-normal' distribution. Scand. J. Statist. 13, 271--275.
Mathematical Reviews (MathSciNet):
MR886466
Heyde, C. C. (1963). On a property of the lognormal distribution. J. R. Statist. Soc. B 25, 392--393.
Mathematical Reviews (MathSciNet):
MR171336
Lin, G. D. (1997). On the moment problems. Statist. Prob. Lett. 35, 85--90. (Correction: 50 (2000), 205.)
O'Hagan, A. and Leonard, T. (1976). Bayes estimation subject to uncertainty about parameter constraints. Biometrika 63, 201--203.
Mathematical Reviews (MathSciNet):
MR428571
Pakes, A., Hung, W.-L. and Wu, J.-W. (2001). Criteria for the unique determination of probability distributions by moments. Austral. N. Z. J. Statist. 43, 101--111.
Schmoyeri, R. L., Beauchamp, J. J., Brandt, C. C. and Hoffman, F. O. Jr. (1996). Difficulties with the lognormal model in mean estimation and testing. Environm. Ecol. Statist. 3, 81--97.
Slud, E. V. (1993). The moment problem for polynomial forms in normal random variables. Ann. Prob. 21, 2200--2214.
Stieltjes, T. J. (1894). Recherches sur les fractions continues. Ann. Fac. Sci. Univ. Toulouse 8, J1--J122 and 9 (1895), A5--A47. Reprinted in: Ann. Fac. Sci. Univ. Toulouse (6) 4 (1995), A5--A47.
Stoyanov, J. (1997). Counterexamples in Probability, 2nd edn. John Wiley, Chichester.
Mathematical Reviews (MathSciNet):
MR930671
Stoyanov, J. (2000). Krein condition in probabilistic moment problems. Bernoulli 6, 939--949.
Stoyanov, J. (2004). Stieltjes classes for moment-indeterminate probability distributions. In Stochastic Methods and Their Applications (J. Appl. Prob. Spec. Vol. 41A), eds J. Gani and E. Seneta, Applied Probability Trust, Sheffield, pp. 281--294.
Stoyanov, J. and Tolmatz, L. (2005). Method for constructing Stieltjes classes for M-indeterminate probability distributions. Appl. Math. Comput. 165, 669--685.
Williamson, M. and Gaston, K. J. (2005). The lognormal distribution is not an appropriate null hypothesis for the species-abundance distribution. J. Animal Ecology 74, 409--422.
Yamazaki, H. and Lueck, R. (1990). Why oceanic dissipation rates are not lognormal? J. Phys. Oceanography 20, 1907--1918.