Mixed Model Selection via Profile Log-likelihood Juming Pan, Junfeng Shang Bowling Green State University, Ohio, USA Mixed models accommodating both fixed effects and random effects are widely utilized to describe the c

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Date: 2015-03-09 20:47:32 Estimation theory Statistical models Model selection Random effects model Bayesian information criterion Likelihood function Mixed model Fixed effects model Statistics Regression analysis Analysis of variance		Mixed Model Selection via Profile Log-likelihood Juming Pan, Junfeng Shang Bowling Green State University, Ohio, USA Mixed models accommodating both fixed effects and random effects are widely utilized to describe the c Add to Reading List Source URL: www.stat.wmich.edu Download Document from Source Website File Size: 14,62 KB Share Document on Facebook

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