论文信息 - Sparse Data, Climatic Variability, and Yield Uncertainty in Response Analysis

Sparse Data, Climatic Variability, and Yield Uncertainty in Response Analysis

A method based on smoothing sparse data is developed for assessment of risk in crop response processes when only few data are available. An empirical example illustrates how optimal inputs depend on degree of risk aversion when controlled inputs influence risk.

Jock R. Anderson

[1] Jock R. Anderson,et al. Value Of Predictors Of Uncontrolled Factors In Response Functions , 1969 .

[2] G. Magńusson. Production under risk : a theoretical study , 1970 .

[3] John P. Doll,et al. Obtaining Preliminary Bayesian Estimates of the Value of a Weather Forecast , 1971 .

[4] A. Janvry. Optimal Levels of Fertilization Under Risk: The Potential for Corn and Wheat Fertilization Under Alternative Price Policies in Argentina , 1972 .

[5] W. Fuller. Stochastic Fertilizer Production Functions for Continuous Corn , 1965 .

[6] N. L. Johnson,et al. Systems of Frequency Curves , 1969 .

[7] Jock R. Anderson. A NOTE ON SOME DIFFICULTIES IN RESPONSE ANALYSIS , 1968 .

[8] Robert Schlaifer,et al. Probability And Statistics For Business Decisions , 1960 .

[9] Richard H. Day,et al. Probability Distributions of Field Crop Yields , 1965 .

[10] J. Doll. A Comparison of Annual Versus Average Optima for Fertilizer Experiments , 1972 .

[11] John L. Dillon,et al. An Expository Review of Bernoullian Decision Theory in Agriculture: Is Utility Futility? , 1971 .