Normal Variance-Mean Mixtures and z Distributions

A survey is given of general properties of normal variance-mean mixtures, including various new results. In particular, it is shown that the class of self-reciprocal normal variance mixtures is rather wide, and some Tauberian results are established from which relations between the tail behaviour of a normal variance-mean mixture and its mixing distribution may be deduced. The generalized hyperbolic distributions and the modulated normal distributions provide examples of normal variance-mean mixtures whose densities can be given in terms of well-known functions, and it is proved that also the z distributions, i.e. the class of distributions generated from the beta distribution through logistic transformation followed by introduction of location and scale parameters, are normal variance-mean mixtures. (The z distributions include the hyperbolic cosine distribution and the logistic distribution.) Some properties of the associated mixing distributions are derived, and the z distributions are shown to be self-decomposable.

[1]  R. A. Fisher,et al.  123: The Mathematical Distributions Used in the Common Tests of Significance. , 1935 .

[2]  E. J. Gumbel,et al.  Ranges and Midranges , 1944 .

[3]  N. L. Johnson,et al.  Systems of frequency curves generated by methods of translation. , 1949, Biometrika.

[4]  A. Rényi On the central limit theorem for the sum of a random number of independent random variables , 1963 .

[5]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[6]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[7]  Satya D. Dubey,et al.  A new derivation of the logistic distribution , 1969 .

[8]  Laurens de Haan,et al.  On regular variation and its application to the weak convergence of sample extremes , 1973 .

[9]  Douglas Kelker,et al.  Infinite Divisibility and Variance Mixtures of the Normal Distribution , 1971 .

[10]  K. Mardia Statistics of Directional Data , 1972 .

[11]  R. Prentice A LOG GAMMA MODEL AND ITS MAXIMUM LIKELIHOOD ESTIMATION , 1974 .

[12]  S. R. de Groot,et al.  Relativistic kinetic theory , 1974 .

[13]  Ross L. Prentice,et al.  Discrimination among some parametric models , 1975 .

[14]  G. Maddala,et al.  A Function for Size Distribution of Incomes , 1976 .

[15]  D. N. Shanbhag,et al.  Some further results in infinite divisibility , 1977, Mathematical Proceedings of the Cambridge Philosophical Society.

[16]  O. Barndorff-Nielsen Exponentially decreasing distributions for the logarithm of particle size , 1977, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[17]  P. Hall Martingale Invariance Principles , 1977 .

[18]  H. Rootzén A note on convergence to mixtures of normal distributions , 1977 .

[19]  D. N. Shanbhag,et al.  On certain self-decomposable distributions , 1977 .

[20]  D. N. Shanbhag,et al.  An extension of Goldie's result and further results in infinite divisibility , 1979 .

[21]  O. Barndorff-Nielsen,et al.  Models for non-Gaussian variation, with applications to turbulence , 1979, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[22]  M. Romanowski Random errors in observations and the influence of modulation on their distribution , 1979 .

[23]  C. Halgreen Self-decomposability of the generalized inverse Gaussian and hyperbolic distributions , 1979 .

[24]  Fw Fred Steutel,et al.  Infinite divisibility in theory and practice , 1979 .

[25]  Lennart Bondesson,et al.  A General Result on Infinite Divisibility , 1979 .

[26]  P. Hall,et al.  Martingale Limit Theory and Its Application , 1980 .

[27]  J. Kent Eigenvalue expansions for diffusion hitting times , 1980 .

[28]  A. N. Shiryayev,et al.  Martingales: Recent Developments, Results and Applications , 1981 .

[29]  M. A. Chmielewski,et al.  Elliptically Symmetric Distributions: A Review and Bibliography , 1981 .

[30]  J. Kent Convolution mixtures of infinitely divisible distributions , 1981, Mathematical Proceedings of the Cambridge Philosophical Society.

[31]  A. F. M. Smith On Random Sequences with Centred Spherical Symmetry , 1981 .

[32]  Morris L. Eaton On the Projections of Isotropic Distributions , 1981 .

[33]  Gérard Letac Isotropy and Sphericity: Some Characterisations of the Normal Distribution , 1981 .

[34]  Irving John Good,et al.  Invariant Distributions Associated with Matrix Laws Under Structural Symmetry , 1981 .