@article{krueger_wilkerson_coble_gold_2000, title={An economic analysis of binomial sampling for weed scouting}, volume={48}, ISSN={["1550-2759"]}, DOI={10.1614/0043-1745(2000)048[0053:AEAOBS]2.0.CO;2}, abstractNote={Abstract Full-count random sampling has been the traditional method of obtaining weed densities. Currently it is the recommended scouting procedure when using HERB, a herbicide selection decision aid. However, alternative methods of scouting that are quicker and more economical need to be investigated. One possibility that has been considered is binomial sampling. Binomial sampling is the procedure by which density is estimated from the number of random quadrats in which the count of individuals is equal to or less than a specified cutoff value. This sampling method has been widely used for insect scouting. There has also been interest in using binomial sampling for weed scouting. However, an economic analysis of this sampling method for weeds has not been performed. In this paper, the results of an economic analysis using simulations with binomial sampling and the HERB model are presented. Full-count sampling was included in the simulations to provide a benchmark for comparison. The comparison was made in terms of economic losses incurred when the estimated weed density obtained from sampling was inaccurate and a herbicide treatment was selected that did not maximize profits. These types of losses are referred to as opportunity losses. The opportunity losses obtained from the simulations indicate that in some situations binomial sampling may be a viable economic alternative to full-count sampling for fields with weed populations that follow a negative binomial distribution, assuming no prior knowledge of weed densities or negative binomial k values. Nomenclature: Glycine max, soybeans.}, number={1}, journal={WEED SCIENCE}, author={Krueger, DW and Wilkerson, GG and Coble, HD and Gold, HJ}, year={2000}, pages={53–60} }
 @article{lavelle_wilson_gold_canada_1997, title={A method for the incorporation of parametric uncertainty in the weighted evaluation multi-attribute decision analysis model}, volume={32}, ISSN={["0360-8352"]}, DOI={10.1016/S0360-8352(97)00012-0}, abstractNote={We develop an extension of the classic Weighted Evaluation (WE) Multi-Attribute Decision Analysis (MADA) model that allows for uncertainty in the parameters of the model. Uncertainties in attribute importance weights and alternative evaluation ratings are represented by independent uniform, triangular or beta random variables; and an iterative multi-variate integration scheme is used to evaluate the mean, variance and skewness of the resulting Probabilistic Weighted Evaluation (PWE). These moments are used to compute two-term Edgeworth and normal approximations to the distribution of: (a) the PWE for each of several alternatives that are to be analysed separately; or (b) the difference between PWEs for selected alternatives that are to be analysed on a pairwise basis. The proposed methodology is used to compare probabilistically three alternative solutions to the Mexico City Airport Siting Problem of Keeney and Raiffa (Keeney, R. L. and Raiffa, H., Decisions with Multiple Objectives. Wiley, New York, 1976).}, number={4}, journal={COMPUTERS & INDUSTRIAL ENGINEERING}, author={Lavelle, JP and Wilson, JR and Gold, HJ and Canada, JR}, year={1997}, month={Sep}, pages={769–786} }
 @article{gold_wilkerson_yu_stinner_1990, title={Decision analysis as a tool for integrating simulation with expert systems when risk and uncertainty are important}, volume={4}, number={4}, journal={Computers and Electronics in Agriculture}, author={Gold, H. J. and Wilkerson, G. G. and Yu, Y. N. and Stinner, R. E.}, year={1990}, pages={343} }
 @article{gold_kendall_shaffer_1987, title={NONLINEARITY AND THE EFFECTS OF MICROCLIMATIC VARIABILITY ON A CODLING MOTH POPULATION (CYDIA-POMONELLA) A SENSITIVITY SIMULATION}, volume={37}, ISSN={["0304-3800"]}, DOI={10.1016/0304-3800(87)90022-6}, abstractNote={Using a recently developed simulation model, we have examined the sensitivity of the dynamics of a population of codling moth to temperature variations of the magnitude that might reasonably occur between weather station measurements and tree canopy temperatures. Base temperatures used were from NOAA Weather Service records for 1976 and for 1978. Effects of temperature variation showed different patterns for the 2 years. Examination of the temperature dependence of rates of development and of mortality for the developmental life stages, indicates that the difference arises from the nonlinear temperature dependence of the underlying life stage processes. Implications are discussed concerning both the qualitative nature of effects of temperature variations, and the nature of the experimental and monitoring data needed if simulation models are to be useable for predicting and controlling codling moth populations.}, number={3-4}, journal={ECOLOGICAL MODELLING}, author={GOLD, HJ and KENDALL, WL and SHAFFER, PL}, year={1987}, month={Jul}, pages={139–154} }
 @article{reynolds_gold_bruck_benson_campbell_1986, title={SIMULATION OF THE SPREAD OF PHYTOPHTHORA-CINNAMOMI CAUSING A ROOT-ROT OF FRASER FIR IN NURSERY BEDS}, volume={76}, ISSN={["1943-7684"]}, DOI={10.1094/Phyto-76-1190}, number={11}, journal={PHYTOPATHOLOGY}, author={REYNOLDS, KM and GOLD, HJ and BRUCK, RI and BENSON, DM and CAMPBELL, CL}, year={1986}, month={Nov}, pages={1190–1201} }