ICAR Research Data Repository for Knowledge Management
Statistical Analysis Of Intercropping Data Using A Correlated Error Structure
OAR@ICRISAT
View Archive Info| Field | Value | |
| Relation |
http://oar.icrisat.org/5148/
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| Title |
Statistical Analysis Of Intercropping Data Using A Correlated Error Structure
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| Creator |
Singh, M
Gilliver, B |
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| Subject |
Agriculture-Farming, Production, Technology, Economics
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| Description |
Intercropping is an important farming system, especially in tropical regions. A statistical model with competition coefficients and correlated error structure is suggested for the analysis of data from intercropping experiments involving two crop species. Data from an intercropping experiment with pearl millet and sorghum genotypes are used to illustrate the technique.
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| Date |
1988
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Language |
en
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| Rights |
—
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| Identifier |
http://oar.icrisat.org/5148/1/0133.pdf
Singh, M and Gilliver, B (1988) Statistical Analysis Of Intercropping Data Using A Correlated Error Structure. In: Proceedings of the 44th session of the International Statistical Institute, 1983, Madrid. |
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