Understanding parameter differences between analyses employing nested data subsets. Issue 3 (22nd October 2020)

• Record Type: Journal Article
• Authors: Gratton, Steven; Challinor, Anthony
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 499:Issue 3(2020)
• Page Start: 3410
• Page End: 3416
• Publication Date: 2020-10-22
• Subjects: methods: analytical -- methods: statistical; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/staa2996
• Languages: English
• ISSNs: 0035-8711

Abstract

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.