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A new test for random effects in linear mixed models with longitudinal data
Zaixing Li,
Lixing ZHU
*
*
Corresponding author for this work
Department of Mathematics
Research output
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Contribution to journal
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Article
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peer-review
6
Citations (Scopus)
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Dive into the research topics of 'A new test for random effects in linear mixed models with longitudinal data'. Together they form a unique fingerprint.
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Mathematics
Linear Mixed Model
80%
Longitudinal Data
68%
Random Effects
65%
Testing
22%
Covariates
18%
Zero matrix
15%
Local Alternatives
13%
Variance-covariance Matrix
13%
Performance
12%
Fixed Effects
12%
Distribution-free
12%
Null Distribution
11%
Projection Method
11%
Data analysis
9%
Null
9%
Simulation
6%
Alternatives
6%
Business & Economics
Longitudinal Data
100%
Mixed Model
80%
Random Effects
67%
Testing
26%
Covariates
21%
Projection Method
15%
Local Alternatives
15%
Distribution-free
13%
Covariance Matrix
11%
Fixed Effects
9%
Performance
8%
Simulation
7%
Alternatives
5%
Engineering & Materials Science
Testing
33%
Covariance matrix
21%