In this paper, we study nonclassical measurement error in the continuous dependent variable of a semiparametric transformation model. The main complication arises because we allow the (additive) measurement error to be correlated with a (continuous) component of the regressors as well as with the ...
Themeasurementerrorintheexplanatoryvariablehasmeanzero,isuncorre- latedwiththetruedependentandindependentvariablesandwiththeequation error.Alsowewillstartbyassuming 2 v =0,i.e.thereisonlymeasurement errorinx.Theseassumptionsde…netheclassicalerrors-in-variablesmodel. ...
The first is that least squares regression, the method most commonly used, assumes no measurement error in the independent variable of the equation (X). This may be fine if X were the absolute, known, true values but in the case where both Y and X are approximations to the true value ...
Testing for the presence of measurement error Wilhelm (2018) shows that, under some conditions, the null hypothesis H0 is equivalent to the hypothesis of no measurement error in X. In this context, the variable Z must be excluded from the outcome equation. For example, it could be a second...
In addition, the HEIV estimator, which is equal to the ordinary least squares regression of the dependent variable on the best linear predictor of the true independent variables, is simple to compute with standard regression software. 展开
Linear regression analysis was performed for the in vitro and in vivo test with the results from the CROM device as the independent variable, and those from the IMU as dependent variable. Intraclass correlation19 estimates and their 95% confident intervals (CI) were calculated20. ICCs performed ...
then the mismeasurement of locations of cases could influence these values and (Y) may also be inaccurate (γ4=γ5= 0). Some covariates may still depend on the location (which may be measured with error) resulting in non-zero contribution ofγ6(γ7=γ8= 0). The observed data takes th...
It shows that the standard error was much larger for the thresholds 1 and 5, thus, the power to establish significant non-invariance was lower for these parameters. These results indicate that there was less DIF and DTF in the middle range of the latent variable. Download: Download full-...
Such a distortion is known to arise from the Δrprompt–delay variable slightly dependent on the prompt energy. Hence, the indicated ANN cut are slightly different for ND (0.86) and FD (0.85). This causes a 1.3% difference in rate normalisation, corroborated with data to a few per mille ...
Error bars on data points include statistical and systematic uncertainties. Symbols showing the theoretical expectations are slightly displaced in the horizontal axis for better visibility. The ratios of data to predictions are shown in the lower panels. The uncertainty in the ratio includes the ...