Ekonomi, Sosyal ve Beşeri Bilimlerde İstatistiksel Araştırmalar

This book, edited by Assoc. Prof. Dr. Nilay Köleoğlu, Assoc. Prof. Dr. Şenol Çelik, and Assoc. Prof. Dr. Meltem İrteş Gülşen, is a comprehensive academic volume examining various topics in economics, social, and human sciences through statistical and econometric methods. The work includes research ranging from agricultural production forecasting (cherry, rice, etc.) to the detection of outliers in financial data, and from optimal investment strategy selection (TOPSIS and Game Theory) to the relationship between human development and income distribution. Furthermore, the book addresses topics such as the classification of health data using machine learning techniques, the legal and economic analysis of tax debts, and factors affecting statistical achievement in education. The study brings together practical applications of advanced statistical techniques such as regression, time series analysis, machine learning algorithms, and multi-criteria decision-making techniques across different disciplines.