A Master's Thesis at the University of Basra Uses Several Methods to Estimate the Dirichlet Model

A master's thesis at the College of Management, University of Basra, explored the use of several statistical methods to estimate the Dirichlet normal model, given differing opinions.

The thesis, presented by student Hassan Sami Hassan, examined the probability function, telephone request processing, and the effectiveness of four established skills in this field.

As a result, a new study construct, named TKDE-IHS, was developed, focusing on its accuracy and timeliness. The best methods were then applied to real-world climate data.

The results showed that the TKDE-IHS method was superior in accuracy, while the TBMDE method was superior in execution speed, demonstrating the efficiency of algorithm sorting and the integration of artificial intelligence techniques.