Hypothesis testing via a penalized-likelihood approach
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Korean Statistical Society"
DOI: 10.1016/j.jkss.2018.11.005
Abstract: Abstract It is illustrated in this paper that hypothesis testing procedures can be derived based on the penalized likelihood approach. Based on this point of view, many traditional hypothesis tests, including the two-sample mean test,… read more here.
Keywords: likelihood approach; penalized likelihood; likelihood; hypothesis testing ... See more keywords
Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach
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DOI: 10.1080/01621459.2021.1888740
Abstract: Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. We propose a quasi-likelihood approach for estimation and inference of the unknown parameters in linear mixed-effects models with high-dimensional fixed effects. The… read more here.
Keywords: likelihood approach; effects models; inference; mixed effects ... See more keywords
A Likelihood Approach to Item Response Theory Equating of Multiple Forms
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DOI: 10.1177/01466216231151702
Abstract: Test equating is a statistical procedure to make scores from different test forms comparable and interchangeable. Focusing on an IRT approach, this paper proposes a novel method that simultaneously links the item parameter estimates of… read more here.
Keywords: response theory; approach item; item; approach ... See more keywords
A replication of “A quasi-maximum likelihood approach for large, approximate dynamic factor models” (Review of Economics and Statistics, 2012)
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DOI: 10.5018/economics-ejournal.ja.2020-14
Abstract: Abstract The authors replicate and extend the Monte Carlo experiment presented in Doz, Giannone and Reichlin (A Quasi-Maximum Likelihood Approach For Large, Approximate Dynamic Factor Models, Review of Economics and Statistics, 2012) on alternative (time-domain… read more here.
Keywords: maximum likelihood; quasi maximum; replication; economics ... See more keywords