@Article{pakinsight,
AUTHOR = {},
TITLE = {Consistency of a Mixture Model of Two Different Distributions Approach to the Analysis of Buying Behaviour Data},
JOURNAL = {International Journal of Mathematical Research},
VOLUME = {5},
YEAR = {2016},
NUMBER = {2},
PAGES = {179-187},
URL = {http://www.pakinsight.com/archive/24/02-2016/2},
ISSN = {2306-2223},
ABSTRACT = {A four-parameter probability distribution, which includes a wide variety
 of curve shapes, is presented. Because of the flexibility, generality, 
and simplicity of the distribution, it is useful in the representation 
of data when the underlying model is unknown. Further important 
applications of the distribution include the modeling and subsequent 
generation of random variates for simulation studies and Monte Carlo 
sampling studies of the robustness of statistical procedures. This 
research centered on combining these two distributions that will 
simultaneously capture the rate of occurrence of a phenomenon, 
especially buying behaviour and the actual performance of that 
phenomenon as well as tracking and forecasting future purchasing pattern
 based the data. Further important applications of the distribution 
include the modeling and subsequent generation of random variates for 
simulation studies of the robustness of statistical procedures. To do 
this, specification of the hybrid model named Exponential- Gamma mixture
 model is given and followed by its derivation. The concluding part of 
the paper depicts an example of the areas of its application.},
DOI = {10.18488/journal.24/2016.5.2/24.2.179.187}
}