A probabilistic theory of measurement

Measurement 39:34-50 (2006)
In this paper we propose a complete probabilistictheory of measurement. This theory includes aprobabilistic representation for order, interval and ratio scales and aprobabilistic description of the measuring system and of the measurement process. For ease of illustration, a deterministic theory of the ideal measurement is presented first, then its probabilistic counterpart is developed. A full set of proofs is included in which the set of objects—which manifest the quantity to be measured—is finite.
Keywords Measurement theory  Representational theory of measurement  Measurement model
Categories (categorize this paper)
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index Translate to english
Download options
PhilPapers Archive

Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 9,360
External links
  • Through your library Configure
    References found in this work BETA

    No references found.

    Citations of this work BETA

    No citations found.

    Similar books and articles
    Alessandro Giordani & Luca Mari (2012). Measurement, Models, and Uncertainty. IEEE Transactions on Instrumentation and Measurement 61 (8):2144 - 2152.

    Monthly downloads

    Added to index


    Total downloads

    3 ( #224,136 of 1,089,057 )

    Recent downloads (6 months)

    2 ( #42,757 of 1,089,057 )

    How can I increase my downloads?

    My notes
    Sign in to use this feature

    Start a new thread
    There  are no threads in this forum
    Nothing in this forum yet.