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Appendix E: Rare-Event Species: Normal or Poisson?
Pages 195-198

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From page 195...
... T his appendix provides an example of the type of analysis that can be used to identify the This appendix provides appropriate an example catch probability of thefor distribution type of analysis the purpose thatforecasting of catch can be used in the to caseidentify of a the appropriate catch probability rare-event distribution species. for the For the purpose purpose ofthe of calculating catch forecasting probability that theincatch the case of a rare-event of a rare-event species.
From page 196...
... ofofn,difference normal Another n,whereas whereas distribution thecontinuous, is isthe that binomial binomial the attributes whereas normalattributes theprobability distribution binomialsome probability attributes totoonly onlythose distribution topositive is discrete. those probability positive esAnother of r up difference f r up to n.toall n.
From page 197...
... of using of using the the Poisson Poissontoto thePoisson approximate toapproximate approximate thethethe binomial binomial probabilityof probability binomial probability of exceeding of The anThe error ACL exceeding error(in is an (in percentage percentage given ACL by: is given points) by: of using of usingthe thePoisson Poissontotoapproximate approximate thethe binomial binomial probability probability of of The exceedingerror an(in ACL exceedingananACL percentage is given ACLisisgiven points)
From page 198...
... . 198 181 NORMAL APPROXIMATIONRECREATIONAL TO A BINOMIAL DISTRIBUTION FISHERIES WITH ANNUAL CATCH LIMITS 181 181 NORMAL APPROXIMATION TO A BINOMIAL DISTRIBUTION TheThe binomial CDF binomial with CDF mean with mean= =npnpand andvariance variance == np(1 np(1 – p)


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