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Table 1 T-X { Y } families based on different quantile functions

From: On generating T-X family of distributions using quantile functions

Random variable Y and support of r( t)

The quantile function Q Y ( λ)

Family of probability density function g( x) defined in (2.4)

Exponential (0, ∞)

- b log(1 - λ), b > 0

bf x 1 - F x r - b log 1 - F x

Weibull (0, ∞)

γ{-log(1 - λ)}1/c,  γ, c > 0

γ f x r γ - log 1 - F x 1 / c c 1 - F x - log 1 - F x c - 1 / c

Rayleigh (0, ∞)

{-2b2 log(1 - λ)}1/2,  b > 0

bf x r - 2 b 2 log 1 - F x 1 / 2 1 - F x - 2 log 1 - F x 1 / 2

Dagum (0, ∞)

β λ 1 / p 1 - λ 1 / p 1 / α , α , β , p > 0

β f x r β F 1 / α p x / 1 - F 1 / p x 1 / α α p F 1 - 1 / α p x 1 - F 1 / p x 1 + 1 / α

Lomax (0, ∞)

1 α 1 - 1 - λ 1 / k 1 - λ 1 / k , α , k > 0

f x k α 1 - F x 1 / k + 1 r 1 - 1 - F x 1 / k α 1 - F x 1 / k

Log-logistic (0, ∞)

α λ 1 - λ 1 / β , α , β > 0

α f x r α F x / 1 - F x 1 / β β F β - 1 / β x 1 - F x β + 1 / β

Exponentiated Exponential (0, ∞)

- 1 θ log 1 - λ 1 / α , θ , α > 0

f x r - 1 / θ log 1 - F 1 / α x α θ F α - 1 / α x 1 - F 1 / α x

Cauchy (-∞, ∞)

a + b {tan(π(λ - 0.5))}, b > 0

π b f x r a + b tan π F x - 1 / 2 cos 2 π F x - 1 / 2

Extreme value(Gumbel) (-∞, ∞)

a - b log(-log λ),  b > 0

bf x r a - b log - log F x - F x log F x

Laplace (-∞, ∞)

a + b log 2 λ , λ < 0.5 a - b log 2 1 - λ , λ ≥ 0.5 a , b > 0

bf x r a + b log 2 F x F x , F x < .5 bf x r a - b log 2 1 - F x 1 - F x , F x ≥ . 5

Logistic (-∞, ∞)

a + b log λ 1 - λ , b > 0

bf x r a + b log F x / 1 - F x F x 1 - F x

Generalized logistic (II) (-∞, ∞)

log 1 - 1 - λ 1 / α 1 - λ 1 / α , α > 0

f x r log 1 - 1 - F x 1 / α / 1 - F x 1 / α α 1 - F x 1 - 1 - F x 1 / α