Title
Optimal Covariate Designs: Theory and Applications,Used
Delivery time: 8-12 business days (International)
This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model parameters. The main emphasis of this monograph is to start with an assumed covariate model in combination with some standard ANOVA setups such as CRD, RBD, BIBD, GDD, BTIBD, BPEBD, crossover, multifactor, splitplot and stripplot designs, treatment control designs, etc. and discuss the nature and availability of optimal covariate designs. In some situations, optimal estimations of both ANOVA and the regression parameters are provided. Global optimality and Doptimality criteria are mainly used in selecting the design. The standard optimality results of both discrete and continuous setups have been adapted, and several novel combinatorial techniques have been applied for the construction of optimum designs using Hadamard matrices, the Kronecker product, RaoKhatri product, mixed orthogonal arrays to name a few.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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