Likelihood Ratio Tests
Likelihood Ratio Tests is a statistical hypothesis testing method that compares the goodness of fit between two nested models by evaluating the ratio of their maximized likelihoods under the null and alternative hypotheses.
2.8K
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283.8K
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7.9K
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Publications per year
2017–2026
348
2.8K
Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
David A. Dickey, Wayne A. Fuller · Econometrica · 1981 · 14.6K citations
Business, Economics, Econometrics +15
Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Quang Vuong · Econometrica · 1989 · 6K citations
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New Zealand Institute for Public Health and Forensic Science, New Zealand
11 publications · 339 citations
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Centralne Laboratorium Kryminalistyczne Policji, Poland
13 publications · 462 citations
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Cornell University
Ithaca, United States
24 h-index
52 publications
3.8K citations

University of Amsterdam
Amsterdam, The Netherlands
23 h-index
61 publications
10.5K citations
University of Wisconsin–Madison
Madison, United States
23 h-index
86 publications
9.9K citations
Stanford University
Stanford, United States
22 h-index
84 publications
17.7K citations
University of California, Berkeley
Berkeley, United States
21 h-index
51 publications
17.6K citations

Johns Hopkins University
Baltimore, United States
21 h-index
42 publications
5.4K citations
Harvard University
Cambridge, United States
21 h-index
54 publications
7.1K citations
North Carolina State University
Raleigh, United States
20 h-index
34 publications
4.9K citations
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138 publications · 13.7K citations
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