Date of Defense
12-9-1994
Date of Graduation
Spring 4-22-1995
Department
Statistics
First Advisor
John Crowell, Mathematics and Statistics
Second Advisor
Frank Severance, Electrical Engineering
Abstract
Mixtures of ingredients occur often in both everyday and industrial settings. When forming a mixture, the concern is often how much of each ingredient should be added to create a mixture which is the "best" in some respect. If a numerical value, called the response, can be assigned to how "good" a mixture is, this problem becomes a natural candidate for statistical analysis. This paper discusses several of the issues which arise when analyzing data from mixture experiments and how a computer can help. After a brief overview of the basics of mixture experiments, the formation of a response equation will be discussed. Following, a method is presented for finding the best combination of ingredients, called components, under some special circumstances. Throughout, the macro capabilities of the statistical package Minitab are used to implement the proposed algorithms.
Recommended Citation
Schafer, Chad Michael, "Computer Aided Statistical Analysis of Data from Mixture Experiments" (1994). Honors Theses. 309.
https://scholarworks.wmich.edu/honors_theses/309
Access Setting
Honors Thesis-Campus Only