Understanding parameter differences between analyses employing nested data subsets
Abstract
We provide an analytical argument for understanding the likely nature of parameter shifts between those coming from an analysis of a data set and from a subset of that data set, assuming differences are down to noise and any intrinsic variance alone. This gives us a measure against which we can interpret changes seen in parameters and make judgements about the coherency of the data and the suitability of a model in describing those data.
- Publication:
-
Monthly Notices of the Royal Astronomical Society
- Pub Date:
- December 2020
- DOI:
- 10.1093/mnras/staa2996
- arXiv:
- arXiv:1911.07754
- Bibcode:
- 2020MNRAS.499.3410G
- Keywords:
-
- methods: analytical;
- methods: statistical;
- Astrophysics - Instrumentation and Methods for Astrophysics;
- Astrophysics - Cosmology and Nongalactic Astrophysics
- E-Print:
- 7 pages, 3 figures