33,293 research outputs found
USING REAL OPTIONS TO EVALUATE PRODUCER INVESTMENT IN NEW GENERATION COOPERATIVES
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
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
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
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 CDM, and
also offers the chance to perform consistency checks of CDM 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 -modes and
thus how this estimator could help control systematics in future radio
weak-lensing surveys
AVIRIS foreoptics, fiber optics and on-board calibrator
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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