Çok Değişkenli İstatistik Analizi İle Farklı Alanlarda Uygulamalar

This book is a comprehensive academic work addressing the theoretical framework and practical applications of multivariate statistical analysis methods across various disciplines. Edited by Assoc. Prof. Dr. Nilay Köleoğlu, Assoc. Prof. Dr. Şenol Çelik, and Assoc. Prof. Dr. Fatih Çemrek, the volume consists of 13 chapters. It details advanced statistical techniques such as Multiple Linear Regression, Logistic Regression, Ridge Regression, Discriminant Analysis, Cluster Analysis, Factor Analysis, Multidimensional Scaling, Conjoint Analysis, MANOVA, and Correspondence Analysis. These methods are concretized through applications on real data sets in diverse fields including education sciences, health management (specifically Covid-19 era expenditures), economics (electricity consumption, tax policies), marketing (consumer preferences), and biometrics. Containing both Turkish and English chapters, the work aims to guide researchers, students, and scientists working with large samples and numerous variables in their data analysis processes.