Abstract
A study of the densities of ratios of independently distributed random variables following the pathway model, Mathai (Citation2005), is carried out. The density functions of these random variables are obtained in terms of H-function. The particular cases of the integral forms are shown to be associated with Tsallis statistics and Beck–Cohen superstatistics. Many other special functions coming under the general density are also included. We plotted the density function of the ratio of these random variables for the different values of the pathway parameters. Real-life application of the results in communication theory related to the signal–noise ratio is illustrated.
Appendix
The H-function is defined as a Mellin–Barnes type integral as follows: (A.1) where , z ≠ 0 and (A.2)
An empty product is interpreted as unity; m, n, p, q ∈ N0 with 0 ⩽ n ⩽ p, 1 ⩽ m ⩽ q,αi, βj ∈ R +, ai, bj ∈ C, i = 1, ..., p; j = 1, ..., q such that αi(bj + k) ≠ βj(ai − λ − 1), k, λ ∈ N0; i = 1, 2, ..., n; j = 1, 2, ..., m, where we employ the usual notations: N0 = 0, 1, 2, ...; R + =(0, ∞), and C being the complex number field. Here L is a suitable contour separating the poles of Γ(bj + βjs), j = 1, 2, ..., m from the poles of Γ(1 − ai − αis), i = 1, 2, ..., n. The contour L could be L = L− ∞ or L = L+ ∞ or L = Liγ∞, where L− ∞ is a loop starting at − ∞ encircling all the poles of Γ(bj + βjs), j = 1, 2, ..., m and ending at − ∞. L+ ∞ is a loop starting at + ∞ encircling all the poles of Γ(1 − ai − αis), i = 1, 2, ..., n and ending at + ∞. Liγ∞ is the infinite semicircle starting at γ − i∞ and going to γ + i∞ where γ ∈ R = ( − ∞, +∞). When α1 = α2 = ... = αp = 1 = β1 = β2 = ... = βq, H-function reduces to G-function; see Brychkov (Citation2008), Mathai et al. (Citation2010), Srivastava et al. (Citation1982).
A general hypergeometric series with p upper parameters and q lower parameters is defined as follows: (A.3) Here, the shifted factorial, or the Pochhammer symbol, denoted by (a)n is defined by (A.4)