Higher Dimensional Linear Models: An Application to Shrimp Effort in the Gulf of Mexico (Years 2007-2014)
作者: Marzjarani Morteza
作者单位: 1NOAA, National Marine Fisheries Service, Southeast Fisheries Science Center, Galveston Laboratory, Galveston, USA
刊名: International Journal of Statistics and Applications, 2016, Vol.6 (3), pp.9
来源数据库: Scientific & Academic Journal
DOI: 10.5923/j.statistics.20160603.02
关键词: General linear modelsRelationsInteractions
原始语种摘要: The issue of handling categorical along with continuous variables in linear models is always interesting and at the same time challenging. In this paper, a general linear model is extended to include both categorical and continuous predictors. Second order terms including interactions of categorical and continuous variables are discussed. Relations are defined, which map categorical variables onto continuous ones. A special case of such relation is where the levels of categorical variables are nested within the continuous variables hereafter called a “nested” model. The resulting models are then applied to estimate shrimp effort in the Gulf of Mexico for the years 2007 through 2014. A comparison of the results from each of the models is presented in the paper.
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  • variables 变量
  • continuous 连续的
  • categorical 范畴
  • challenging 有希望的
  • paper 
  • nested 嵌套
  • hereafter 以下
  • estimate 估计
  • issue 
  • called 被呼叫的