31,199 research outputs found

    USING REAL OPTIONS TO EVALUATE PRODUCER INVESTMENT IN NEW GENERATION COOPERATIVES

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    New Generation Cooperatives have emerged as a contemporary means for farmers to invest in further processing activities. This paper considers real options as the basis for evaluating producer investment in a start-up cooperative that involves technological uncertainty. The investment and risk inherent in producer membership in an NGC is analyzed using real options theory logic. Real options theory has recently been extended to technology positioning projects and how the extent of uncertainty influences the value of a technology "option". Conventional net present value formulas have been shown to be limited when the conditions of the investment require substantial commitment under uncertainty, such as investments in technology. Implications for producers are drawn from the analysis. Producers always have the alternative of not investing in the initial start-up but waiting and buying in at a later time, perhaps when less uncertainty prevails. Results indicate that producers are better able to evaluate investment in a NGC using real options.Agribusiness,

    Introduction to papers on astrostatistics

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    We are pleased to present a Special Section on Statistics and Astronomy in this issue of the The Annals of Applied Statistics. Astronomy is an observational rather than experimental science; as a result, astronomical data sets both small and large present particularly challenging problems to analysts who must make the best of whatever the sky offers their instruments. The resulting statistical problems have enormous diversity. In one problem, one may have to carefully quantify uncertainty in a hard-won, sparse data set; in another, the sheer volume of data may forbid a formally optimal analysis, requiring judicious balancing of model sophistication, approximations, and clever algorithms. Often the data bear a complex relationship to the underlying phenomenon producing them, much in the manner of inverse problems.Comment: Published in at http://dx.doi.org/10.1214/09-AOAS234 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Exclusivity of Agrifood Supply Chains: Seven Fundamental Economic Characteristics

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    The IFAMR is published by the International Food and Agribusiness Management Association. IFAMA. www.ifama.orgagrifood supply chains, exclusive economic characteristics, risk, market power, globalization, Agribusiness, Demand and Price Analysis, Research and Development/Tech Change/Emerging Technologies, Risk and Uncertainty, Q130,

    Estimating the weak-lensing rotation signal in radio cosmic shear surveys

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    Weak lensing has become an increasingly important tool in cosmology and the use of galaxy shapes to measure cosmic shear has become routine. The weak-lensing distortion tensor contains two other effects in addition to the two components of shear: the convergence and rotation. The rotation mode is not measurable using the standard cosmic shear estimators based on galaxy shapes, as there is no information on the original shapes of the images before they were lensed. Due to this, no estimator has been proposed for the rotation mode in cosmological weak-lensing surveys, and the rotation mode has never been constrained. Here, we derive an estimator for this quantity, which is based on the use of radio polarisation measurements of the intrinsic position angles of galaxies. The rotation mode can be sourced by physics beyond Λ\LambdaCDM, and also offers the chance to perform consistency checks of Λ\LambdaCDM and of weak-lensing surveys themselves. We present simulations of this estimator and show that, for the pedagogical example of cosmic string spectra, this estimator could detect a signal that is consistent with the constraints from Planck. We examine the connection between the rotation mode and the shear BB-modes and thus how this estimator could help control systematics in future radio weak-lensing surveys

    AVIRIS foreoptics, fiber optics and on-board calibrator

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    The foreoptics, fiber optic system and calibration source of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) are described. The foreoptics, based on a modified Kennedy scanner, is coupled by optical fibers to the four spectrometers. The optical fibers allow convenient positioning of the spectrometers in the limited space and enable simple compensation of the scanner's thermal defocus (at the -23 C operating temp) by active control of the fiber focal plane position. A challenging requirement for the fiber optic system was the transmission to the spectral range 1.85 to 2.45 microns at .45 numerical aperture. This was solved with custom fluoride glass fibers from Verre Fluore. The onboard calibration source is also coupled to the spectrometers by the fibers and provides two radiometric levels and a reference spectrum to check the spectrometers' alignment. Results of the performance of the assembled subsystems are presented
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