A State-Space Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey

GSTDTAP > 气候变化

	A State-Space Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey
	MacKean, Peter M.; Storvik, Geir Olve; Aanes, Sondre
	2015
出版年	2015
语种	英语
国家	挪威
出版者	Matematisk Institutt, UiO
领域	气候变化
英文摘要	We study a hierarchical dynamic state-space model for abundance estimation. A generic data fusion approach for combining computer simulated posterior samples of catch output data with observed re- search survey indices using sequential importance sampling is pre- sented. Posterior samples of catch generated from a computer soft- ware are used as a primary source of input data through which sheries dependent information is mediated. Direct total stock abundance es- timates are obtained without the need to estimate any intermediate parameters such as catchability and mortality. Numerical results of a simulation study show that our method provides a useful alternative to existing methods. We apply the method to data from the Barents Sea Winter survey for Northeast Arctic cod (Gadus morhua). The re- sults based on our method are comparable to results based on current methods.
URL	查看原文
来源平台	Center for International Climate and Environmental Research-Oslo (CICERO)
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/2014
专题	气候变化
推荐引用方式 GB/T 7714	MacKean, Peter M.,Storvik, Geir Olve,Aanes, Sondre. A State-Space Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey:Matematisk Institutt, UiO,2015.