Malmquist bias
E1463463
UNEXPLORED
Malmquist bias is an observational selection effect in astronomy where brighter objects are preferentially detected, leading to systematically underestimated distances and distorted luminosity distributions in flux-limited samples.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Malmquist bias canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T21027224 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malmquist bias Context triple: [Tully-Fisher relation distances, systematicUncertaintiesInclude, Malmquist bias]
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A.
Tolman surface brightness test
The Tolman surface brightness test is an observational cosmology method that checks whether the universe is expanding by examining how the surface brightness of distant galaxies diminishes with redshift.
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B.
Observational selection effects and probability
"Observational selection effects and probability" is Nick Bostrom’s doctoral thesis, in which he develops a formal framework for understanding how observation bias and self-locating beliefs affect probabilistic reasoning in philosophy and science.
-
C.
“Sample Selection Bias as a Specification Error”
“Sample Selection Bias as a Specification Error” is a landmark econometrics paper by James Heckman that introduced the Heckman correction for dealing with non-randomly selected samples in statistical analysis.
-
D.
Shapley Concentration
Shapley Concentration is one of the most massive known supercluster complexes of galaxies in the nearby universe, located in the constellation Centaurus.
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E.
Argelander step method
The Argelander step method is a visual technique in variable star astronomy for estimating a star’s brightness by comparing it in small, systematic steps to nearby comparison stars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malmquist bias Target entity description: Malmquist bias is an observational selection effect in astronomy where brighter objects are preferentially detected, leading to systematically underestimated distances and distorted luminosity distributions in flux-limited samples.
-
A.
Tolman surface brightness test
The Tolman surface brightness test is an observational cosmology method that checks whether the universe is expanding by examining how the surface brightness of distant galaxies diminishes with redshift.
-
B.
Observational selection effects and probability
"Observational selection effects and probability" is Nick Bostrom’s doctoral thesis, in which he develops a formal framework for understanding how observation bias and self-locating beliefs affect probabilistic reasoning in philosophy and science.
-
C.
“Sample Selection Bias as a Specification Error”
“Sample Selection Bias as a Specification Error” is a landmark econometrics paper by James Heckman that introduced the Heckman correction for dealing with non-randomly selected samples in statistical analysis.
-
D.
Shapley Concentration
Shapley Concentration is one of the most massive known supercluster complexes of galaxies in the nearby universe, located in the constellation Centaurus.
-
E.
Argelander step method
The Argelander step method is a visual technique in variable star astronomy for estimating a star’s brightness by comparing it in small, systematic steps to nearby comparison stars.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.