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International Journal of Advanced Statistics and Probability
Number of Followers: 7  Open Access journalISSN (Print) 2307-9045 - ISSN (Online) 2307-9045 Published by Science Publishing Corporation  [13 journals]
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- A new extended distribution and its application to using survival analysis
of cancer patients
Authors: M. Sakthivel, P. Pandiyan
Pages: 1 - 12
Abstract: Medical research is one of the most important aspects of statistical analysis and application. In this paper, present a new three-parameter continuous distribution referred to as power exponentiated Shanker distributions with application to real-life datasets. The proposed distri-bution possesses a density function, a distribution function with three parameters, a survival function, and a hazard function. They studied the nature of the distribution with the help of its statistical properties, including moments, moment-generating functions, and entropy. The probability density function of order statistics for this distribution is also obtained. The classical distribution is the estimation of parameters by using the technique of maximum likelihood estimation. The application of the model selection technique criteria AIC, BIC, AICC, and goodness of fit on two real data sets is finally presented and compared to the fit attained by some other well-known distributions.
Keywords:
market using statistical analysis
Authors: Dr. Nermin Saad Mohmed Fahmi
Pages: 13 - 19
Abstract: This research aims to use a statistical and economic model that takes into account all the emerging economic, social and financial variables in the framework of the new world order and the new general situation to determine the most important basic determinants affecting the volume of demand and the supply of insurance policies for each branch of insurance separately. To maximize its financial, economic and social return, that is, to determine the factors affecting the absorptive capacity of the Egyptian insurance market using some statistical models. It was found that the best regression models that can be used to describe the relationship between the number of insurance policies and the economic variables used in the study is the semi-logarithmic model, and the size of insurance amounts is related to a group of economic variables at the national level, including: population - size of the labor force - birth rates, and it is also related to per capita GDP.
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