Comparison of Two Polynomial Calibration Methods
| Authors | |
|---|---|
| Year of publication | 2017 |
| Type | Article in Proceedings |
| Conference | Mathematics, Information Technologies and Applied Science 2017 |
| MU Faculty or unit | |
| Citation | |
| Web | http://mitav.unob.cz/data/MITAV%202017%20Proceedings.pdf |
| Field | Applied statistics, operation research |
| Keywords | kalibration; transformation function; transformation curve; maximum likelihood method; Kenward Roger's type of approximation |
| Description | 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. |
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