Expected value of Visual Fast Count Estimator assuming Poisson distribution for counts
The function is used to obtain the method of moments estimator within the function
Calculates the expected value of the Visual Fast Count method.
The function assumes that the count per segment is Poisson
with mean m/s and that segment counts are independent. The expected value is also a function of the number of
positives d before segment counting is stopped.
expected.pois(m, s, d)
The underlying mean of the Poisson process per transect
The number of segments per transect
The numbner of positive counts before segment counting is stopped
The expected value of the Visual Fast Count estimator
Jon Barry: Jon.Barry@cefas.co.uk
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