Generation of 2n series fractional factorial plans robust against linear-trend
Trend-free design for single factor at two level factorial experiments (complete and fractional both) are available in literature but trend-free multi-factor design could not be traced in the literature. There are a number of experiments in agronomy, agricultural engineering and virology where fact...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indian Council of Agricultural Research
2021-07-01
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| Series: | The Indian Journal of Agricultural Sciences |
| Subjects: | |
| Online Access: | https://epubs.icar.org.in/index.php/IJAgS/article/view/108863 |
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| Summary: | Trend-free design for single factor at two level factorial experiments (complete and fractional both) are available in literature but trend-free multi-factor design could not be traced in the literature. There are a number of experiments in agronomy, agricultural engineering and virology where factors are multi-level. Multi-level factorial/fractional factorial designs are not readily available, and there is a need to address this problem. Hence an attempt has been made to construct linear trend-free multi-level factorial/ fractional factorial main effect design with their cost consideration.
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| ISSN: | 0019-5022 2394-3319 |