Print Email Facebook Twitter Minimal Detectable and Identifiable Biases for quality control Title Minimal Detectable and Identifiable Biases for quality control Author Imparato, D. (Curtin University) Teunissen, P.J.G. (TU Delft Mathematical Geodesy and Positioning; Curtin University) Tiberius, C.C.J.M. (TU Delft Mathematical Geodesy and Positioning) Date 2018-03-01 Abstract The Minimal Detectable Bias (MDB) is an important diagnostic tool in data quality control. The MDB is traditionally computed for the case of testing the null hypothesis against a single alternative hypothesis. In the actual practice of statistical testing and data quality control, however, multiple alternative hypotheses are considered. We show that this has two important consequences for one's interpretation and use of the popular MDB. First, we demonstrate that care should be exercised in using the single-hypothesis-based MDB for the multiple hypotheses case. Second, we show that for identification purposes, not the MDB, but the Minimal Identifiable Bias (MIB) should be used as the proper diagnostic tool. We analyse the circumstances that drive the differences between the MDBs and MIBs, show how they can be computed using Monte Carlo simulation and illustrate by means of examples the significant differences that one can experience between detectability and identifiability. Subject Detection–identification–adaptation (DIA)Global Navigation Satellite Systems (GNSS)Minimal Detectable Bias (MDB)Minimal Identifiable Bias (MIB)Quality control To reference this document use: http://resolver.tudelft.nl/uuid:2c29e8c9-4486-4558-bced-2d41de1711b9 DOI https://doi.org/10.1080/00396265.2018.1437947 Embargo date 2018-09-01 ISSN 0039-6265 Source Survey Review, 51 (367), 289-299 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 D. Imparato, P.J.G. Teunissen, C.C.J.M. Tiberius Files PDF 2018_Minimal_Detectable_a ... ontrol.pdf 1001.18 KB Close viewer /islandora/object/uuid:2c29e8c9-4486-4558-bced-2d41de1711b9/datastream/OBJ/view