| Autor: |
DAĞALP, RUKİYE E., KARABULUT, İHSAN, ÖZTÜRK, FİKRİ |
| Předmět: |
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| Zdroj: |
Communications Series A1 Mathematics & Statistics; 2017, Vol. 66 Issue 2, p311-322, 12p |
| Abstrakt: |
The classical measurement error model is discussed in the context of parameter estimation of the simple linear regression. The attenuation e¤ect of measurement error on the parameter estimation is eliminated using the regression calibration and simulation extrapolation methods. The mass density of pebbles population is investigated as a real data application. The mass and volume of a pebble are regarded an error-free and error-prone variables, respectively. The population mass density is considered to be the slope parameter of the simple linear regression without intercept. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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