Ahmad Hassan Saad Ibrahim <br/><br/>
On T-X Method for generating families from distributions /  
 لتوليد عائلات من التوزيعات T-X  حول طريقة  
Ahmad Hassan Saad Ibrahim ; Supervised Samir Kamel Ashour , Darwish Rashwan Said  
 - Cairo :   Ahmad Hassan Saad Ibrahim ,   2018 
 - 160 Leaves :   charts ;   30cm  
<br/><br/>Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics 
<br/><br/> 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,  ) to generate the family. An interesting question is Can we use other distributions as the generator? 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) 
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<br/><br/><label>Subjects--Index Terms: </label>Distributions Generating families On T-X Method