We report the results of two investigations requested by the Scienti c Committee regarding alternative methods for Bayesian synthesis assessment of the Bering-Beaufort-Chukchi Seas stock of bowhead whales (Balaena mysticetus). The rst series of studies examines the e ect of assuming that the historic pelagic catch record is known without error. We propose a model for variability in the historic...

Scup 293 Executive Summary The current biomass reference point for scup relies on the index of Spawning Stock Biomass (SSB) from the NEFSC spring trawl survey. Previous reviews of the stock assessment have indicated that while this index may be the most reliable fishery independent index of scup SSB, it is subject to a relatively high degree of inter-annual variability that reduces its utility ...

Spatial erosion of stock structure through local overfishing can lead to stock collapse because fish often prefer certain locations, and fisheries tend to focus on those locations. Fishery managers are challenged to maintain the integrity of the entire stock and require scientific approaches that provide them with sound advice. Here we propose a Bayesian hierarchical spatio-temporal modelling f...

this paper examines the accuracy of valuation models in providing reasonable estimation of the market values of listed companies in tehran stock exchange (tse). six valuation models including gordon growth model, two stage dividend discount model, adjusted present value, price to earning ratio and residual income were examined in this study. in addition, three proxies represent the market value...

Location or stock-specific landing data are necessary to improve management of shark stocks, especially those imperiled by overexploitation as a result of the international shark fin trade. In the current absence of catch monitoring directly at extraction sites, genetic stock identification of fins collected from major market supply chain endpoints offers an overlooked but potentially useful ap...

Stock assessment of Otolithes ruber was carried out using Virtual Population Analysis (VPA) method in the coastal waters of Northwest area of the Persian Gulf. Catch and length frequency data during 2002-2012 were converted to age frequency. The maximum of stock number and biomass were observed in age group 1 and 2, respectively. The minimum stock number and biomass were observed for age group ...