Analysis on $$s^{n-m}$$ s n - m designs with general minimum lower-order confounding-Reference-Cited by-同舟云学术

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Analysis on $$s^{n-m}$$ s n - m designs with general minimum lower-order confounding

Published:2015-11-05 Issue:2 Volume:100 Page:207-222
ISSN:1863-8171
Container-title:AStA Advances in Statistical Analysis
language:en
Short-container-title:AStA Adv Stat Anal

Author:

Li Zhiming^ORCID,Teng Zhidong,Zhang Tianfang,Zhang Runchu

Funder

Scientific Research Program of the Higher Education Institution of Xinjiang

Doctoral Program of Xinjiang University

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Economics and Econometrics,Social Sciences (miscellaneous),Modelling and Simulation,Statistics and Probability,Analysis

Link

http://link.springer.com/content/pdf/10.1007/s10182-015-0259-3.pdf

Reference23 articles.

1. Ai, M.Y., Zhang, R.C.: $$s^{n-m}$$ s n - m designs containing clear main effects or two-factor interactions. Stat. Probab. Lett. 69, 151–160 (2004)

2. Box, G.E.P., Hunter, J.S.: The $$2^{k-p}$$ 2 k - p fractional factorial designs I and II. Technometrics 3, 311–351 and 449–458 (1961)

3. Box, G.E.P., Hunter, W.G., Hunter, J.S.: Statistics for Experimenters. Wiley, New York (1978)

4. Chen, H., Hedayat, A.S.: $$2^{n-l}$$ 2 n - l designs with resolution III or IV containing clear two-factor interactions. J. Stat. Plan. Inference 75, 147–158 (1998)

5. Chen, J., Liu, M.Q.: Some theory for constructing general minimum lower order confounding designs. Stat. Sin. 21, 1541–1555 (2011)

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1. Construction of three-level factorial designs with general minimum lower-order confounding via resolution IV designs;Metrika;2024-09-09

2. A general minimum lower-order confounding criterion for s -level blocked designs;Communications in Statistics - Theory and Methods;2024-04-18

3. Characterization of three-order confounding via consulting sets;Metrika;2023-02-13

4. Results on constructing sn−m regular designs with general minimum lower-order confounding;Journal of Statistical Planning and Inference;2023-01

5. Computer algorithms of lower-order confounding in regular designs;Computational Statistics;2022-12-30

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