D 2017

Comparison of Two Polynomial Calibration Methods

RÁBOŇOVÁ, Petra

Basic information

Original name

Comparison of Two Polynomial Calibration Methods

Authors

RÁBOŇOVÁ, Petra (203 Czech Republic, guarantor, belonging to the institution)

Edition

Brno, Mathematics, Information Technologies and Applied Science 2017, p. 193-207, 15 pp. 2017

Publisher

University of Defence

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10103 Statistics and probability

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14310/17:00098867

Organization unit

Faculty of Science

ISBN

978-80-7582-026-6

Keywords in English

kalibration; transformation function; transformation curve; maximum likelihood method; Kenward Roger's type of approximation

Tags

Tags

Reviewed
Změněno: 21/3/2018 15:31, Ing. Nicole Zrilić

Abstract

V originále

In the contribution we focused on comparison of two polynomial calibration methods. We compare a method based on maximum likelihood method, and a method using linearised model with errors in variables and Kenward Roger's type of aproximation. First, we introduce models for boths procedures. Then we estimate unknown parameters of transformation function with use of these models. We compare both methods in a small simulation study.

Links

MUNI/A/1194/2016, interní kód MU
Name: Statistické a deterministické modelování (Acronym: StaDeMo)
Investor: Masaryk University, Category A