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Optimal covariate designs[electronic...

Das, Premadhis.

Optimal covariate designs[electronic resource] :theory and applications /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	519.538
タイトル / 著者:	Optimal covariate designs : theory and applications // by Premadhis Das ... [et al.].
その他の著者:	Das, Premadhis.
出版された:	New Delhi : : Springer India :, 2015.
記述:	xvii, 220 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Analysis of covariance.
主題:	Statistics.
主題:	Statistics and Computing/Statistics Programs.
主題:	Statistics for Business/Economics/Mathematical Finance/Insurance.
主題:	Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
主題:	Statistics for Life Sciences, Medicine, Health Sciences.
国際標準図書番号 (ISBN) :	9788132224617 (electronic bk.)
国際標準図書番号 (ISBN) :	9788132224600 (paper)
[NT 15000228] null:	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.
[NT 15000229] null:	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.
電子資源:	http://dx.doi.org/10.1007/978-81-322-2461-7

Optimal covariate designs[electronic resource] :theory and applications /
Optimal covariate designstheory and applications /[electronic resource] :by Premadhis Das ... [et al.]. - New Delhi :Springer India :2015. - xvii, 220 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9788132224617 (electronic bk.)

Standard No.: 10.1007/978-81-322-2461-7doiSubjects--Topical Terms:

467124
Analysis of covariance.

LC Class. No.: QA279

Dewey Class. No.: 519.538

Optimal covariate designs[electronic resource] :theory and applications /
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300 $a xvii, 220 p. : $b ill., digital ; $c 24 cm.
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 Analysis of covariance. $3 467124
650 1 4 $a Statistics. $3 145349
650 2 4 $a Statistics and Computing/Statistics Programs. $3 463725
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 464928
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 464764
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 464109
700 1 $a Das, Premadhis. $3 633605
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-81-322-2461-7
950 $a Mathematics and Statistics (Springer-11649)

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