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Optimal Covariate Designs Theory and Applications /

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 ma...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Das, Premadhis (Autor), Dutta, Ganesh (Autor), Mandal, Nripes Kumar (Autor), Sinha, Bikas Kumar (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New Delhi : Springer India : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Optimal Covariate Designs  |h [electronic resource] :  |b Theory and Applications /  |c by Premadhis Das, Ganesh Dutta, Nripes Kumar Mandal, Bikas Kumar Sinha. 
250 |a 1st ed. 2015. 
264 1 |a New Delhi :  |b Springer India :  |b Imprint: Springer,  |c 2015. 
300 |a XVII, 221 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Chapter 1. Optimal Covariate Designs: Scope of the Monograph -- Chapter 2. OCDs in Completely Randomized Design Set-Up -- Chapter 3. OCDs in Randomized Block Design Set-Up -- Chapter 4. OCDs in Balanced Incomplete Block Design Set-Up -- Chapter 5. OCDs in Group Divisible Design Set-Up -- Chapter 6. OCDs in Binary Proper Equireplicate Block Design Set-Up -- Chapter 7. OCDs in Balanced Treatment Incomplete Block Design Set-Up -- Chapter 8. Miscellaneous other Topics and Issues -- Chapter 9. Applications of the Theory of OCDs. 
520 |a 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 set-ups such as CRD, RBD, BIBD, GDD, BTIBD, BPEBD, cross-over, multi-factor, split-plot and strip-plot 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 D-optimality criteria are mainly used in selecting the design. The standard optimality results of both discrete and continuous set-ups have been adapted, and several novel combinatorial techniques have been applied for the construction of optimum designs using Hadamard matrices, the Kronecker product, Rao-Khatri product, mixed orthogonal arrays to name a few. 
650 0 |a Mathematical statistics-Data processing. 
650 0 |a Statistics . 
650 0 |a Biometry. 
650 1 4 |a Statistics and Computing. 
650 2 4 |a Statistics in Business, Management, Economics, Finance, Insurance. 
650 2 4 |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Biostatistics. 
700 1 |a Dutta, Ganesh.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Mandal, Nripes Kumar.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Sinha, Bikas Kumar.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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