Optimal orthogonal designs in two blocks for Becker's mixture models in three and four components
Abstract
Orthogonal block designs for Scheffé's quadratic model in three and four components have been considered by John (Technical Report 8, Centre for Statistical Sciences, University of Texas, Austin, TX, pp. 1-17), Czitrom (Comm. Statist. Theory Methods 17 (1988) 105; Comm. Statist. Theory Methods 18 (1989) 4561; Comm. Statist. Simulation Comput. 21 (1992) 493), Draper et al. (Technometrics 35 (1993) 268), Chan and Sandhu (J. Appl. Statist. 26(1) (1999) 19), and Ghosh and Liu (J. Statist. Plann. Inference 78 (1999) 219). In this paper, we have constructed optimal orthogonal designs in two blocks for Becker's models in three and four components. We have also given conditions for orthogonality. © 2002 Elsevier Science B.V. All rights reserved.
Publication Title
Statistics and Probability Letters
Recommended Citation
Aggarwal, M., Sarin, V., & Singh, P. (2002). Optimal orthogonal designs in two blocks for Becker's mixture models in three and four components. Statistics and Probability Letters, 59 (4), 385-396. https://doi.org/10.1016/S0167-7152(02)00237-7
