Calibration: Modelling the measurement process
| Autor: | Eran Tal |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
History
Accuracy and precision Mutual coherence Relation (database) Calibration (statistics) Computer science Process (computing) Statistical model 06 humanities and the arts Coherence (statistics) 0603 philosophy ethics and religion computer.software_genre 01 natural sciences Metrology 010309 optics History and Philosophy of Science 060302 philosophy 0103 physical sciences Data mining computer |
| Zdroj: | Studies in History and Philosophy of Science Part A. :33-45 |
| ISSN: | 0039-3681 |
| DOI: | 10.1016/j.shpsa.2017.09.001 |
| Popis: | Calibration procedures establish a reliable relation between the final states (‘indications’) of a measurement process and features of the objects being measured (‘outcomes’). This article analyzes the inferential structure of calibration procedures. I show that calibration is a modelling activity, namely the activity of constructing, deriving predictions from, and testing theoretical and statistical models of a measurement process. Measurement outcomes are parameter value ranges that maximize the predictive accuracy and mutual coherence of such models, among other desiderata. This model-based view of calibration clarifies the source of objectivity of measurement outcomes, the nature of measurement accuracy, and the close relationship between measurement and prediction. Contrary to commonly held views, I argue that measurement standards are not necessary for calibration, although they are useful in maintaining coherence across large networks of measurement procedures. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect