Optimal Mixture Experiments

Chapter 1. Mixture Models and Mixture Designs: Scope of the Monograph.- Chapter 2. Optimal Regression Designs.- Chapter 3. Parameter Estimation in Linear and Quadratic Mixture Models.- Chapter 4. Optimal Mixture Designs for Estimation of Natural Parameters in Scheffé's Model.- Chapter 5. Optimal Mixture Designs for Estimation of Natural Parameters in Scheffé's Model under Constrained Factor Space.- Chapter 6. Optimal Mixture Designs for Estimation of Natural Parameters in Other Mixture Models.- Chapter 7. Optimal Designs for Estimation of Optimum Mixture in Scheffé's Quadratic Model.- Chapter 8. More on Estimation of Optimum Mixture in Scheffé's Quadratic Model.- Chapter 9. Optimal Designs for Estimation of Optimum Mixture in Scheffé's Quadratic Model under Constrained Factor Space.- Chapter 10. Optimal Designs for Estimation of Optimum Mixture under Darroch-Waller and Log-Contrast Models.- Chapter 11. Applications of Mixture Experiments.- Chapter 12. Miscellaneous Topics: Robust mixtures, random regression coefficients, multiresponse experiments, mixture-amount models, blocking in mixture designs.

Professor Bikas Kumar Sinha is a retired professor of statistics of Indian Statistical Institute, Calcutta, India. He has travelled extensively within India and abroad for collaborative research and with teaching assignments. He has served as a 'UN Expert on Mission' and also as a consultant for USEPA. He is a 'Summer at Census' visitor at the US Census Bureau. He has more than 130 research publications in areas like linear models and optimal designs, survey sampling theory and statistical methodologies. He is the co-author of two research monographs published under Springer-Verlag Lecture Notes in Statistics Series (1989, 2002).

Professor Nripes Kumar Mandal is a senior faculty in the Department of Statistics, University of Calcutta, India. He has been working in the area of design of experiments since 1977. He has visited several universities/institutes in India and abroad for teaching/collaborative research and as a resource person/invited speaker/keynote speaker at Workshops/Conferences/Symposia. He has more than 60 research articles published in peer-reviewed journals. He is the co-author of a research monograph published under Springer-Verlag Lecture Notes in Statistics Series (2002).

Professor Manisha Pal teaches at the Department of Statistics, University of Calcutta, India. She has undertaken teaching and collaborative research assignments in Indian and foreign universities. She has been a resource person/invited speaker at Workshops/ Conferences/Symposia held in India and abroad. She has more than 85 published research articles in the areas of inventory control, reliability inference, skewed distributions, mixture experiments and data analysis.

Professor Premadhis Das is a senior faculty in the Department of Statistics, University of Kalyani, India. He has been working in the area of design of experiments for more than 30 years, and has visited many universities for teaching/ collaborativeresearch and

"The aim of this book is to present different aspects regarding the optimality for mixture designs. ... At the end we find an up-to-date bibliography, an author index and a subject index. The book is very useful for both theoreticians and applied statisticians working especially in the field of mixture experiments using different mixture models." (T. Postelnicu, zbMATH 1308.62007, 2015)