STATISTICAL METHODS FOR THE DETECTION THRESHOLD OF POLLUTION IN FRESHWATER AQUATIC ECOSYSTEM
DOI:
https://doi.org/10.15649/2346075X.402Keywords:
IC Confidence Intervals , Bootstrap, Deviance, and Least Absolute Deviation, threshold.Abstract
Introduction: This paper presents the methodology and results of the
implementation of statistical methods in determining thresholds of
pollution in aquatic ecosystems. The objectives are to analyze some
of the methods which can be obtained thresholds or points of change
in a variable of interest, develop the respective statistical programs
in the R software and apply these methods in determining thresholds
for pollutants in reservoirs Puerto Rico.
One of the statistical tools used in the development of each of the
methods is the application of conditional probability. For this, two
variables Q and X are needed, provided that one of them is called
the threshold. Q Suppose the known threshold and call it X variable
interest variable that you want to know the threshold. The process
involves, given the two variables, using the conditional probability
P (Q | X) and by the methods, determine the threshold of the variable
of interest X.
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