Titlebook: Optimal Mixture Experiments; B.K. Sinha,N.K. Mandal,P. Das Book 2014 Springer Nature India Private Limited 2014 Bayesian Analysis.Design o

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Optimal Regression Designs,e role of . and . are discussed. Equivalence theorems for different optimality criteria, which play an important role in checking the optimality of a given otherwise prospective design, are presented. These results are repeatedly used in later chapters in the search for optimal mixture designs. We p

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Parameter Estimation in Linear and Quadratic Mixture Models, designs will occur throughout the monograph. Several generalizations of standard mixture designs are also discussed here. Estimability issues involving the model parameters are addressed at length. In the process, information matrices are worked out and their roles are emphasized. The concept of Lo

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,More on Estimation of Optimum Mixture in?Scheffé’s Quadratic Model, In this chapter, we address the problem of finding optimum mixture designs under deficiency and minimax criteria. In most cases, Kiefer’s equivalence theorem plays a key role in identifying the designs.

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