Stratification and sample allocation for reference burned area data

Sample Allocation and Stratification

Mapping burned area in Alaska using MODIS data: a data limitations-driven modification to the regional burned area algorithm

With the recently observed and projected trends of growing wildland fire occurrence in high northern latitudes, satellite-based burned area mapping in these regions is becoming increasingly important for scientific and fire management communities. Coarseand moderate-resolution remotely sensed data products are the only viable source of comprehensive and timely estimates of burned area in remote...

Allocation models for DMUs with negative data

The formulas of cost and allocative efficiencies of decision making units (DMUs) with positive data cannot be used for DMUs with negative data. On the other hand, these formulas are needed to analyze the productivity and performance of DMUs with negative data. To this end, this study introduces the cost and allocative efficiencies of DMUs with negative data and demonstrates that the introduc...

Global estimation of burned area

Global estimation of burned area using MODIS active fire observations L. Giglio, G. R. van der Werf, J. T. Randerson, G. J. Collatz, and P. Kasibhatla Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, Maryland, USA Department of Hydrology and Geo-Environmental Sciences, Vrije Universiteit, Amsterdam, The Netherlands Department of Earth System Science, Universi...

a benchmarking approach to optimal asset allocation for insurers and pension funds

uncertainty in the financial market will be driven by underlying brownian motions, while the assets are assumed to be general stochastic processes adapted to the filtration of the brownian motions. the goal of this study is to calculate the accumulated wealth in order to optimize the expected terminal value using a suitable utility function. this thesis introduced the lim-wong’s benchmark fun...