%0 Journal Article
%T Using Time Series Models to Predict the Numbers of First Graders in Wasit Governorate
%J Alkut university college journal
%I Al Kut College
%Z P:2414-741
%A Abdulhussein, Mahdi A.
%A Talib, Hayder Raaid
%A AbdulMuttaleb, Thaer Hashim
%A Matrood, Hadiya H.
%D 2022
%\ 09/14/2022
%V 2022
%N 2022
%P 240-246
%! Using Time Series Models to Predict the Numbers of First Graders in Wasit Governorate
%K time series
%K binary exponential bootstrap model
%K triple exponential bootstrap model
%R
%X The education sector, before and after 2003, inherited a heavy legacy. Successive governments are trying hard to reduce the effects of that legacy by filling the shortage in school buildings. The best example of this is the shortage in public schools in Wasit governorate, as this governorate lacks a number of factors that make education in it. Vulnerable because of the lack of schools, where we find in most government schools that the number of students in one class is more than 50 male and female students, as most parents resorted to registering their children in private schools, so we will address in this research to some predictive methods to find solutions, by analyzing the results It was concluded that the best prediction model is the triple exponential preamble model, and there was an increase in the number of students that were predicted in this way.
%U https://js.alkutcollege.edu.iq/article_19577_2c76c4f9e3aecfca72b7b9bfcf620518.pdf