Abstract:
Thanks for people's God who brought the great book, prays and peace for
his prophet "Mohammad" the master of missioners to all people.
Allah created human being in it's best way and give him a soul thus ,
he will be a human with faith that has movement and life and the centre of his
soul is the sense which differentiate human from other animals. This
sensation generated from different senses that made the soul.
God had given him a protected heart, talkative tounge and clear seeing
to understand with consideration, so he will prevent himself of falling in wrong
by thinking and situation that he will pass by.
The significance and probability of sensation had talken our attention in
Qur'an . Hence , it's considered to be our subject in this research, and to find
different meaning for each utterance or sensation in the great Qur'an
according to the sources of usage whether it is a true or probable meaning
and each of them might have more than twenty or less meaning.
They stated that this phenomena of significant pronunaction, which
reveals differentiation and richness of the great Qur'an characteristics and
miracle in it appearance of miracle in it.
The leader of this section of understanding for the words and
understanding for the words and their meaning in AL-Qur'an was the Imam
"Ali bin Abu Talib" (greet on him) through him people recognize, in more than
one way, that AL-Qur'an has many sides or different meaning for each
expression.
Regression models are one of the most important models used in modern studies, especially research and health studies because of the important results they achieve. Two regression models were used: Poisson Regression Model and Conway-Max Well- Poisson), where this study aimed to make a comparison between the two models and choose the best one between them using the simulation method and at different sample sizes (n = 25,50,100) and with repetitions (r = 1000). The Matlab program was adopted.) to conduct a simulation experiment, where the results showed the superiority of the Poisson model through the mean square error criterion (MSE) and also through the Akaiki criterion (AIC) for the same distribution.
Paper type:
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