Expected value of Visual Fast Count Estimator assuming Poisson distribution for counts

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Description

The function is used to obtain the method of moments estimator within the function GVFCMOM. 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.

Usage

1
expected.pois(m, s, d) 

Arguments

m

The underlying mean of the Poisson process per transect

s

The number of segments per transect

d

The numbner of positive counts before segment counting is stopped

Value

The expected value of the Visual Fast Count estimator

Author(s)

Jon Barry: Jon.Barry@cefas.co.uk

See Also

expected.nb, GVFCMOM

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