# Jest

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This is essentially a form of the equation for sharedJabund that is not corrected for the presence of unsampled OTUs. For this example the value was 0.88.

$S_{sharedJest} = \frac{S_{sharedChao1}}{S1_{chao} + S2_{chao} - S_{sharedChao1}}$, (*.sharedJest)

$S_{sharedSorest} = \frac{2S_{sharedChao1}}{S1_{chao} + S2_{chao}}$, (*.sharedSorEst)

where,

Ssharedchao1 = estimated number of OTUs shared between A and B using the SharedChao1 estimator.
S1chao = number of OTUs estimated in A using the Chao estimator.
S2chao = number of OTUs estimated in B using the Chao estimator.