Fire behavior in chaparral–Evaluating flame models with laboratory data

on some bayesian statistical models in actuarial science with emphasis on claim count

چکیده ندارد.

Target setting in additive models with preferences and interval data

Simo Heliövaara Computational Models for Human Behavior in Fire Evacuations

of master's thesis Abstract: The most important objective of fire safety design is to ensure that people can safely escape from a building in the case of fire. In many cases, following the fire regulations is adequate to ensure safety, but in large places of public assembly, like shopping centers, sport stadiums or schools, obeying the requirements may not be enough to achieve a safe outcome. T...

Measuring Fire Behavior with Photography

Photography is practical for recording and measuring some aspects of forest fire behavior i f the scale and perspective can be determined. This paper describes a photogrammetric method for measuring flame height and rate of spread for fires on flat terrain. The flames are photographed at known times wi th a camera in front of the advancing fire. Scale and perspective of the photographs are dete...

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...