Conveners
Quality 4
- Chair: Shirley Coleman
Emerging technologies ease the recording and collection of high frequency data produced by sensor networks. From a statistical point of view, these data can be view as discrete observations of random functions. Our industrial goal is to detect abnormal measurement. Statistically, it consists in detecting outliers in a multivariate functional data set.
We propose a robust procedure based on...
In a linear regression model, endogeneity (i.e., a correlation between some explanatory variables and the error term) makes the classical OLS estimator biased and inconsistent. When instrumental variables (i.e., variables that are correlated with the endogenous explanatory variables but not with the error term) are available to partial out endogeneity, the IV estimator is consistent and widely...
A new methodology based on bootstrap resampling techniques is proposed to estimate the distribution of the h and k Mandel's statistics, commonly applied to identify laboratories that supply inconsistent results usually utilized to detect those outlier laboratories by testing the hypothesis of reproducibility and repeatability (R & R), in the framework of Interlaboratory Studies (ILS)....