Optimal Mixture Experiments (Lecture Notes in Statistics, 1028)

Optimal Mixture ExperimentsAuthor(s): B.K. Sinha, N.K. Mandal, Manisha Pal, P. Das\nFormat: Paperback\nPublisher: Springer, India, Private Ltd, India\nImprint: Springer, India, Private Ltd\nISBN-13: 9788132217855, 978-8132217855\nSynopsis\n?The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadratic regression models. This is followed by a review of the available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimum mixing proportions in different mixture models, which include Schef.