Bayesian ranking of cosmetics brands using paired comparison techniques and models
- Islamabad (unpublished) 2023
- xii, 104 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Statistics to the Department of Basic Sciences. Includes bibliographical references. Thesis supervisor: Prof. Dr. Muhammad Aslam
Thesis (MS)--Riphah International University, 2023