Number of the records: 1
Confidence region for calibration function coefficients
SYS 0265377 LBL 01652^^^^^2200289^^^450 005 20240415081445.1 014 $a 000452196100001 $2 CCC 014 $a 000452196100001 $2 WOS CC. SCIE 014 $a 2-s2.0-85058654861 $2 SCOPUS 017 70
$a 10.1515/msr-2018-0031 $2 DOI 035 $a biblio/89295 $2 CREPC2 100 $a 20181127d2018 m y slo 03 ba 101 0-
$a eng 102 $a SK 200 1-
$a Confidence region for calibration function coefficients $f Petra Ráboňová, Gejza Wimmer 330 0-
$a The paper deals with the comparative calibration model, i.e. with a situation when both variables are subject to errors. The calibration function is supposed to be a polynomial. From the statistical point of view, the model after linearization could be represented by the linear errors-in-variables (EIV) model. There are two different ways of using the Kenward and Roger’s type approximation to obtain the confidence region for calibration function coefficients. These two confidence regions are compared on a small simulation study. Calibration process and process of measuring with calibrated device are described under the assumption that the measuring errors are normally distributed 463 -1
$1 001 umb_un_cat*0289493 $1 011 $a 1335-8871 $1 200 1 $a Measurement Science Review $e The Journal of Institute of Measurement Science of Slovak Academy of Sciences $v Vol. 18, no. 6 (2018), pp. 227-235 $1 210 $a Bratislava $c Slovak Academy of Sciences $d 2018 606 0-
$3 umb_un_auth*0095309 $a kalibrácie 606 0-
$3 umb_un_auth*0272274 $a kalibračné funkcie 606 0-
$3 umb_un_auth*0054762 $a parametre 606 0-
$3 umb_un_auth*0199224 $a konvenčná konfidenčná oblasť 606 0-
$3 umb_un_auth*0272276 $a kalibrované prístroje 606 0-
$3 umb_un_auth*0045644 $a merania $X measurements 615 $n 51 $a Matematika 675 $a 51 700 -1
$3 umb_un_auth*0272277 $a Ráboňová $b Petra $4 070 $9 50 701 -0
$3 umb_un_auth*0004113 $a Wimmer $b Gejza $f 1949- $p UMBFP10 $9 50 $4 070 $T Katedra matematiky 801 $a SK $b BB301 $g AACR2 $9 unimarc sk T85 $x existuji fulltexy
Number of the records: 1