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Robustness of orthogonal-array based composite designs to missing data

  • Published:2018-03 Issue: Volume:194 Page:15-24
  • ISSN:0378-3758
  • Container-title:Journal of Statistical Planning and Inference
  • language:en
  • Short-container-title:Journal of Statistical Planning and Inference

Author:

Chen Xue-Ping,Guo Bing,Liu Min-QianORCID,Wang Xiao-Lei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference15 articles.

1. Multilevel augmented pairs second-order response surface designs and their robustness to missing data;Ahmad;Comm. Statist. Theory Methods,2012

2. Robustness of subset response surface designs to missing observations;Ahmad;J. Statist. Plann. Inference,2010

3. Response surface designs robust to missing observations;Akhtar;Comm. Statist. Simulation Comput.,1986

4. The robustness and optimality of response surface designs;Andrews;J. Statist. Plann. Inference,1979

5. Response Surfaces, Mixtures, and Ridge Analyses;Box,2007

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1. Central composite designs with three missing observations;Applied Numerical Mathematics;2023-12

2. Fraction of design space plots for evaluating orthogonal composite designs;Communications in Statistics - Theory and Methods;2023-10-11

3. Generating Robust Optimal Mixture Designs Due to Missing Observation Using a Multi-Objective Genetic Algorithm;Mathematics;2023-08-17

4. On the robustness of central composite designs when missing two observations;Quality and Reliability Engineering International;2023-02-14

5. Orthogonal uniform composite designs for the third-order models;Brazilian Journal of Probability and Statistics;2022-12-01
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