Analysis of Yield-Density Models for Intercropping Experiments
Yield density models are used to describe the relationship between the yield of one or more crops and densities of planting. In this paper, we propose a correlated error structure for a linear yield‐density model for intercopping and competition experiments. Four possible estimators of the parameter...
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| Veröffentlicht in: | Biometrical journal 1999-12, Vol.41 (8), p.995-1011 |
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| container_title | Biometrical journal |
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| creator | Beaver, Robert J. Melgar, Mario |
| description | Yield density models are used to describe the relationship between the yield of one or more crops and densities of planting. In this paper, we propose a correlated error structure for a linear yield‐density model for intercopping and competition experiments. Four possible estimators of the parameters of the error structure are evaluated using a Monte Carlo study. The estimators are compared on the basis of gain in efficiency as measured by the generalized variance. An example is provided. |
| doi_str_mv | 10.1002/(SICI)1521-4036(199912)41:8<995::AID-BIMJ995>3.0.CO;2-H |
| format | Article |
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| issn | 0323-3847 1521-4036 |
| language | eng |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Distribution theory Efficiency Estimation Exact sciences and technology Mathematics Monte Carlo simulation Parametric inference Probability and statistics Sciences and techniques of general use Small-sample properties Statistics |
| title | Analysis of Yield-Density Models for Intercropping Experiments |
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