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Journal of Applied Statistics Volume 21, 1994 - Issue 4
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Original Articles

Effect of blocking on estimation of response surface

A. I. Khuri Department of Statistics, University of Florida, USA
Pages 305-316 | Published online: 05 Jun 2011

Citations (17)

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Read on this site (8)

M. Hemavathi, Shashi Shekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal. (2022) Theoretical developments in response surface designs: an informative review and further thoughts. Communications in Statistics - Theory and Methods 51:7, pages 2009-2033.
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André I Khuri. (2006) Mixed Response Surface Models With Heterogeneous Within-Block Error Variances. Technometrics 48:2, pages 206-218.
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Peter Goos & Martina Vandebroek. (2005) Estimating the Intercept in an Orthogonally Blocked Experiment when the Block Effects are Random. Communications in Statistics - Theory and Methods 33:4, pages 873-890.
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Jitendra Ganju & JamesM. Lucas. (2000) Analysis of Unbalanced Data from an Experiment with Random Block Effects and Unequally Spaced Factor Levels. The American Statistician 54:1, pages 5-11.
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Steven G. Gilmour & Luzia A. Trinca. (2000) Some practical advice on polynomial regression analysis from blocked response surface designs. Communications in Statistics - Theory and Methods 29:9-10, pages 2157-2180.
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Sang-Hyun Park & Dae-Heung Jang. (1999) Measures for evaluating the lotted of blocking in response surface designs. Communications in Statistics - Theory and Methods 28:7, pages 1599-1616.
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Park Sang ‐ Hyun & Jang Dac ‐ Heung. (1999) A graphical method for evaluating the effect of blocking in response surface designs. Communications in Statistics - Simulation and Computation 28:2, pages 369-380.
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Luzia A. Trinca & Steven G. Gilmour. (1998) Variance Dispersion Graphs for Comparing Blocked Response Surface Designs. Journal of Quality Technology 30:4, pages 314-327.
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Articles from other publishers (9)

C.G. Joshy & N. Balakrishna. (2017) Blocking first order response surface designs with interaction under correlated error. Model Assisted Statistics and Applications 12:2, pages 179-191.
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P. Goos & A.N. Donev. (2006) Blocking response surface designs. Computational Statistics & Data Analysis 51:2, pages 1075-1088.
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André I. Khuri. 2003. Statistics in Industry. Statistics in Industry 209 229 .
. (2002) Measures for Evaluating Nearly Orthogonal Blocking. Korean Journal of Applied Statistics 15:1, pages 179-186.
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. (2002) Categorizing tumor size as a prognostic factor for risk of relapse of hepatocellular carcinoma. Korean Journal of Applied Statistics 15:1, pages 1-8.
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Jitendra Ganju. (2000) On choosing between fixed and random block effects in some no-interaction models. Journal of Statistical Planning and Inference 90:2, pages 323-334.
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Luzia A. Trinca & Steven G. Gilmour. (2000) An algorithm for arranging response surface designs in small blocks. Computational Statistics & Data Analysis 33:1, pages 25-43.
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Elsie S. Valeroso & André I. Khuri. (1999) Multiresponse surface models with random block effects. Journal of Statistical Planning and Inference 79:1, pages 157-173.
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André I. Khuri & Elsie Valeroso. (1998) Multiresponse surface models with block effects. Journal of Statistical Planning and Inference 73:1-2, pages 7-20.
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