Journal ArticleDOI
A Review on Optimum Covariate Designs
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In this paper, a short review of the present developments in this connection is presented, where the covariate effects were estimated with global optimality and a series of different design set-ups and proposed optimum covariate designs were considered.Abstract:
Study of optimality of designs with covariate models started with Lopes Troya (1982a, 1982b). Later on, it was considered by a number of authors. Notable among them are Das et al. (2003) and Rao et al. (2003). In a series of papers, Dutta, Das and Mandal considered different design set-ups and proposed optimum covariate designs where the covariate effects were estimated with global optimality. The paper contains a short review of the present developments in this connection.read more
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Book ChapterDOI
Optimal Covariate Designs (OCDs): Scope of the Monograph
TL;DR: In this paper, the authors discuss the importance of optimal choice of covariates in linear models and provide a chapter-wise summary of the work covered and choice of various experimental design settings.
References
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Journal ArticleDOI
Linear Statistical Inference and Its Applications
TL;DR: Rao's Linear Statistical Inference and Its Applications as discussed by the authors is one of the earliest works in statistical inference in the literature and has been translated into six major languages of the world.
Book
Theory of Optimal Designs
Kirti R. Shah,Bikas K. Sinha +1 more
TL;DR: In this paper, the authors present a set of optimization criteria in the design of experiments, including general optimization, specific optimization, efficiency factor, and A-optimal design with Unequal Block Sizes.
Book
Topics in Optimal Design
TL;DR: In this paper, optimal regression designs in symmetric and asymmetric domains are presented. But they do not address the problem of designing optimal regression design in the presence of trends, as discussed in this paper.
Journal ArticleDOI
Some generalizations of distinct representatives with applications to statistical designs
Journal ArticleDOI
Optimal experimental designs for models with covariates
TL;DR: In this paper, the authors investigate the underlying combinatorial problems in the context of CRD, RBD and BIBD in order to accommodate maximum number of covariates.