الفهرس 
On T-X Method for Generating Families from Distributions
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Abstract
Statistical distributions are used to model real life phenomena. Seeking flexibility of modeling different types of phenomena remains a strong reason for developing new distributions. The beta-class distributions, the Kumaraswamygenerated distributions, log-gamma-generated distributions, and Kummer Beta Generalized distributions use generators with support [0,1] while gammagenerated distributions use generators with support [0, {uF0A5} ) to generate the family. An interesting question is {u2018}Can we use other distributions as the generator?{u2019} Recently, a family of T-X distributions was developed using the transformation technique to generate the family. The mean aim of this thesis is to review some methods for generating families of distributions, especially discuss the T-X method for generating families of distributions. We used the T-X method in generating and studied a new two distributions, the first one is the exponentiated exponential-Pareto distribution (EE-PD), the second is the log-gamma - Rayleigh distribution (LGR)