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Review of Mixed-Effect Models
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혼합효과모형의 리뷰

논문 기본 정보

Type
Academic journal
Author
Journal
한국통계학회 응용통계연구 Vol.28 No.2 KCI Accredited Journals
Published
2015.4
Pages
14 - 27 (14page)

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Review of Mixed-Effect Models
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Science has developed with great achievements after Galileo's discovery of the law depicting a relationship between observable variables. However, many natural phenomena have been better explained by models including unobservable random effects. A mixed effect model was the first statistical model that included unobservable random effects. The importance of the mixed effect models is growing along with the advancement of computational technologies to infer complicated phenomena; subsequently mixed effect models have extended to various statistical models such as hierarchical generalized linear models. Hierarchical likelihood has been suggested to estimate unobservable random effects. Our special issue about mixed effect models shows how they can be used in statistical problems as well as discusses important needs for future developments. Frequentist and Bayesian approaches are also investigated.
#다단계 가능도 #다단계 일반화 선형모형 #변량 효과 #혼합효과모형 #hierarchical generalized linear models #hierarchical likelihood #Mixed effect models #random effects

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