Applied Survival Function and Stochastic Process for perturbations patients of Kurdistan Region of Iraq (2015–2017)
The objectives for this study is carry out with stochastic model and survival function; we did small disturbances and use the simulation to study its impact on a few of the population. Although, a small worried introduced in the stochastic and survival function model to a long lived stable population in a region or parameter space where the stochastic and survival model predicts of the population. we apply this model on fertility rates, survival rates, and population base for a particular type, data was collected from population statistics and Rizgari Hospital in Erbil for perturbation patients (Secondary data ) between 2015 and 2017, and again we can use model of population growth rate. The scientific researches in the environment study, find it useful to determine if the species can survive when it is introduced into a new surroundings. In addition, it can also be used as the model to determine if the population of a particular type will increase or decrease over a certain period of time, and the stochastic model is easily simulated with Monte Carlo techniques. While, the Easyfit and SPSS programs used for practical part for this study. This consequence is understood fro considering a related model with density function depended on the sex ratio which showing features.
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