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http://krishi.icar.gov.in/jspui/handle/123456789/84382| Title: | Universally Optimal Network Balanced Designs for Agroforestry Trials |
| Other Titles: | Not Available |
| Authors: | Peter T. Birteeb Cini Varghese Mohd Harun |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute ICAR::Indian Agricultural Research Institute Faculty of Agriculture Food and Consumer Sciences, University for Development Studies, Box TL 1882, Tamale, Ghana |
| Published/ Complete Date: | 2024-12-16 |
| Project Code: | Not Available |
| Keywords: | Agroforestry trials Balanced design Completely symmetric Efficiency factors Network effects |
| Publisher: | Springer Nature |
| Citation: | Birteeb, P.T., Varghese, C. & Harun, M. Universally Optimal Network Balanced Designs for Agroforestry Trials. J Indian Soc Probab Stat (2024). https://doi.org/10.1007/s41096-024-00221-9 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Not Available |
| Description: | The need for improvement in agroforestry systems experiments necessitates the development of appropriate designs to provide more precise estimates of effects of interest in agroforestry trials. This is attainable through the development of optimal or at least highly efficient designs. Optimal designs constitute one of the most desired but hard-to-obtain concepts in design theory. They have the advantages of yielding more precise estimates, and reducing cost of experimentation as fewer experimental units would be required to estimate the underlying statistical models. This study aimed to develop and characterize designs that would be suitable for use in agroforestry trials. Based on a linear network effects model, a class of network balanced designs accounting for effects of trees from adjacent plots has been developed for use in agroforestry experiments. A study of the characterization properties of this class of network balanced designs showed that the designs are variance balanced for estimation of direct effects of trees. They are also shown to be universally optimal under a linear network effects model and could be used for agroforestry experiments involving even number of tree species. |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Journal of the Indian Society for Probability and Statistics |
| Journal Type: | Not Available |
| NAAS Rating: | Not Available |
| Impact Factor: | 0.8 |
| Volume No.: | Not Available |
| Page Number: | Not Available |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | https://doi.org/10.1007/s41096-024-00221-9 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/84382 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Peter JISPS 2024.pdf | 1.21 MB | Adobe PDF | View/Open |
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