Principal component and multiple correspondence analysis for handling mixed variables in the smoothed location model

• المؤلف الرئيسي: Ngu, Penny Ai Huong
• التنسيق: أطروحة
• اللغة: English; English
• منشور في: 2016
• الموضوعات: QA299.6-433 Analysis
• الوصول للمادة أونلاين: http://etd.uum.edu.my/6034/

The issue of classifying objects into groups when the measured variables are mixtures of continuous and binary variables has attracted the attention of statisticians. Among the discriminant methods in classification, Smoothed Location Model (SLM) is used to handle data that contains both continuous...