A test for choice between hyperbolic sigmoidal models of crop yield response to weed density

Journal of Agricultural, Biological, and Environmental Statistics

Volumn 1, Issue 1, 1996, Pages 97-106

  Swinton, Scott M ^a   Lyford, Conrad P ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Hyperbola; Monte Carlo simulation; Nonlinear estimation; Sigmoid; Weeds; Yield response function

Indexed keywords

EID: 0002989244     PISSN: 10857117     EISSN: None     Source Type: Journal    
DOI: 10.2307/1400562     Document Type: Article

References (27)

1. Auld, B. A., and Tisdell, C. A. (1988), "Influence of Spatial Distribution of Weeds on Crop Yield Loss," Plant Protection Quarterly, 3(2), 81.
2. Bates, D. M., and Watts, D. G. (1988), Nonlinear Regression Analysis and Its Applications, New York: John Wiley.
3. Belsley, D. A. (1991), Conditioning Diagnostics: Collinearity and Weak Data in Regression, New York: John Wiley.
4. Berti, A., Zanin, G., Baldoni, G., Grignani, C., Mazzoncini, M., Montemurro, P., Tei, F., Vazzana, C., and Viggiani, P. (1992), "Frequency Distribution of Weed Counts and Applicability of a Sequential Sampling Method to Integrated Weed Management," Weed Research, 32, 39-44.
5. Brain, P., and Cousens, R. (1990), "The Effect of Weed Distribution on Predictions of Yield Loss," Journal of Applied Ecology, 27, 735-742.
6. Buhler, D., Gunsolus, J., and Ralston, D. (1989), "Reduced Bentazon and Cultivation for Cocklebur Control," unpublished research protocol, Department of Agronomy and Plant Genetics, University of Minnesota.
7. Cousens, R. (1985), "A Simple Model Relating Yield Loss to Weed Density," Annals of Applied Biology, 107, 239-252.
8. Cousens, R., Moss, S. R., Cussans, G. W., and Wilson, B. J. (1987), "Modeling Weed Populations in Cereals," Reviews of Weed Science, 3, 93-112.
9. Deen, W., Weersink, A., Turvey, C. G., and Weaver, S. (1993), "Economics of Weed Control Strategies Under Uncertainty," Review of Agricultural Economics, 15, 39-50.
10. Gallant, A. R. (1987), Nonlinear Statistical Models, New York: John Wiley.
11. Judge, G. G., Hill, R. C., Griffiths, W. E., Lutkepohl, H., and Lee, T. C. (1988), Introduction to the Theory and Practice of Econometrics (2nd ed.), New York: John Wiley.
12. King, R. P., Lybecker, D. W., Schweizer, E. E., and Zimdahl, R. L. (1986), "Bioeconomic Modeling to Simulate Weed Control Strategies for Continuous Com (Zea mays)," Weed Science, 34, 972-979.
13. Law, A. M., and Kelton, W. D. (1982), Simulation Modeling and Analysis (1st ed.), New York: MacGraw-Hill.
14. Marshall, E. J. P. (1988), "Field-Scale Estimates of Grass Weed Populations in Arable Land," Weed Research, 28, 191-198.
15. Morgan, P. H., Mercer, L. P., and Flodin, N. W. (1975), "General Model for Nutritional Responses of Higher Organisms," Proceedings of the National Academy of Science U.S.A., 72, 4327-4331.
16. Pannell, D. J. (1990), "Responses to Risk in Weed Control Decisions Under Expected Profit Maximization," Journal of Agricultural Economics, 41, 391-403.
17. _ (1991), "Responses to Risk in Weed Control Decisions under Expected Profit Maximization: Reply," Journal of Agricultural Economics, 42, 407-408.
18. Ratkowsky, D. A. (1983), Nonlinear Regression Modeling: A Unified Practical Approach, New York: Marcel Dekker.
19. Richter, O., and Söndgerath, D. (1990), Parameter Estimation in Ecology, New York: VCH.
20. Rubinstein, R. Y. (1981), Simulation and the Monte Carlo Method, New York: John Wiley.
21. Seber, G. A. F. and Wild, C. J. (1989), Nonlinear Regression, New York: John Wiley.
22. Swinton, S. M. (1991), "Responses to Risk in Weed Control Decisions Under Expected Profit Maximization: Comment," Journal of Agricultural Economics, 42, 404-406.
23. White, K. J. (1993), SHAZAM Econometrics Computer Program: User's Reference Manual Version 7.0, Montreal: McGraw-Hill.
24. Wiles, L. J., Oliver, G. W., York, A. C., Gold, H. J., and Wilkerson, G. G. (1992), "The Spatial Distribution of Broadleaf Weeds in North Carolina Soybean (Glycine max) Fields," Weed Science, 40, 554-557.
25. Wilkerson, G. G., Modena, S. A., and Coble, H. D. (1991), "HERB: Decision Model for Postemergence Weed Control in Soybean," Agronomy Journal, 83, 413-417.
26. Williams, C. S., and Hayes, R. M. (1984), "Johnsongrass (Sorghum halepense) Competition in Soybeans," Weed Science, 32, 498-501.
27. Zimdahl, R. L. (1980), Weed-Crop Competition: A Review, International Plant Protection Center, Oregon State University.