Some Statistical Inference Problems in Data Fusion and Semi-Parametric Regression

The proposal dealt with several problems in the areas of data fusion and semi-parametric regression models. The problems were formulated specifically in the context of linear models, both univariate and multivariate. Some data fusion problems that arise in the area of calibration has been successfully solved. In addition, in the context of the calibration problem, univariate as well as multivariate, several satisfactory confidence regions have been constructed and applied to real data. In the same spirit, confidence regions and tests in some linear functional relationship models have been derived as well.