Sequential Likelihood Ratio Tests
Sequential Likelihood Ratio Tests is a statistical hypothesis testing method that sequentially evaluates evidence by comparing the likelihood ratio of observed data against predetermined thresholds to decide between competing hypotheses, distinguishing itself from fixed-sample tests through its adaptive, ongoing evaluation of data as it becomes available.
124
Publications
6.8K
Citations
289
Authors
162
Institutions
Publications per year
2017–2026
15
Variants
Slrt
Parents
124
Sequential tests for the detection of linkage.
Newton E. Morton · PubMed · 1955 · 1.6K citations
Testing for Unit Roots in Time Series Data
Sastry G. Pantula · Econometric Theory · 1989 · 358 citations
1–5 of 124
289
6
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 289
162
Stanford University
Stanford, United States
7 h-index
9 publications
303 citations
Princeton University
Princeton, United States
4 h-index
6 publications
448 citations
University of Southern California
Los Angeles, United States
4 h-index
5 publications
196 citations
Columbia University
New York, United States
4 h-index
8 publications
230 citations

Belarusian State University
Minsk, Belarus
3 h-index
4 publications
44 citations
Harvard University
Cambridge, United States
3 h-index
6 publications
1.1K citations
National Institutes of Health
Bethesda, United States
3 h-index
6 publications
351 citations
National University of Singapore
Singapore, Singapore
3 h-index
4 publications
143 citations
1–8 of 162
11 publications · 247 citations
11
h-index
8 publications · 439 citations
8
h-index
6 publications · 179 citations
6
h-index
5 publications · 256 citations
5
h-index
5 publications · 295 citations
5
h-index
1–5