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Approximate likelihoods for generalized linear errors-in-variables models
John J. Hanfelt, Kung Yee Liang
Research output
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Contribution to journal
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Article
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peer-review
25
Scopus citations
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Dive into the research topics of 'Approximate likelihoods for generalized linear errors-in-variables models'. Together they form a unique fingerprint.
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Mathematics
Conditional Score
100%
Errors-in-variables Model
80%
Wald Test
80%
Estimating Function
75%
Measurement Error
65%
Linear Model
54%
Likelihood
53%
Covariates
52%
Quasi-likelihood
38%
Logistic Regression Model
36%
Inconsistent
33%
Multiple Solutions
33%
Generalized Linear Model
32%
Resolve
30%
Maximum Likelihood Estimation
28%
Heuristics
26%
Alternatives
19%
Business & Economics
Measurement Error
97%
Errors in Variables
86%
Wald Test
82%
Maximum Likelihood Estimation
56%
Quasi-likelihood
45%
Generalized Linear Model
40%
Logistic Regression Model
35%
Inference
25%
Heuristics
24%
Alternatives
14%