FISHERY BULLETIN: VOL. 74, NO. 4 



Table 1. -Optimum strategies and minimum Bayes risks for a five-period, two-decision fisiiery with 



a sampling fraction c = 1 x 10"^. 



Table 2.-0ptimum strategies and minimum Bayes risks for a five-period, two-decision fishery with 



a sampling fraction « = 1 x 1(H. 



Table 3.-0ptimum strategies and minimum Bayes risks for a five-period, two-decision fishery with 

 linear stage-to-stage trends in the expected run size and the run size standard deviation with 

 preseason parameters oq = 4.0 and Pq = 2.44 x 10"^. 



Poisson sampling. The sampling was intended to 

 simulate actual run sizes equal to, greater than, or 

 less than the preseason estimate of the run size, 

 ao/fio. The Poisson sampling was done by brute 

 force in which sample values exactly equal to the 

 desired expected values were chosen. For example, 

 to simulate an actual run size twice that based on 

 the preseason parameters we choose ijj = 2Xi 



844 



where X, = ep^ uq/Pq is the Poisson parameter for 

 the ?th period obtained from the preseason pa- 

 rameters. The deterministic samples (which is 

 really a contradiction in terms) permit one to elicit 

 the response of the system to specified input 

 stimuli. 



The Bayes risks are all in units of numbers of 

 fish. The optimum strategy is that strategy which 



