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Efficient Statistical Planning Of Fire Experiments

KR. Bulien, O., Hovde, P.J. and Log, T., 1994. Efficient Statistical Planning Of Fire Experiments. Fire Safety Science 4: 1291-1302. doi:10.3801/IAFSS.FSS.4-1291


ABSTRACT

Statistics is a natural tool for any experimenter to minimize the number of tests without loosing the wanted information, and to ensure that the results are statistically valid. A proper test design also makes it easier to interpret data and to produce a mathematical model of the response variable being studied. This document contains a quick introduction to the fields of statistical planning and analysis of data, and shows that this is a way to save time for a research scientist dealing with fire experiments. The theory is illustrated with a few concrete, simple examples from Cone. Calorimeter testing.


Keyword(s):

fire tests, statistics, cone calorimeter


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