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2014 | OriginalPaper | Chapter

3. Parameter Estimation in Linear and Quadratic Mixture Models

Authors : B. K. Sinha, N. K. Mandal, Manisha Pal, P. Das

Published in: Optimal Mixture Experiments

Publisher: Springer India

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Abstract

In this chapter, we present standard mixture models and standard mixture designs as generally applied to such models. These mixture models and mixture 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 Loewner domination is also brought in.

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previous chapter Optimal Regression Designs

next chapter Optimal Mixture Designs for Estimation of Natural Parameters in Scheffé’s Models

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Title: Parameter Estimation in Linear and Quadratic Mixture Models
Authors: B. K. Sinha
N. K. Mandal
Manisha Pal
P. Das
Publisher: Springer India
Book: Optimal Mixture Experiments
Print ISBN: 978-81-322-1785-5

Electronic ISBN: 978-81-322-1786-2

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-81-322-1786-2_3

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