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Statistical analysis of astro-geodetic data through principal component analysis, linear modelling and bootstrap based inference

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arxiv 1809.07879 v1 pith:CMFIYHFE submitted 2018-09-20 stat.AP

Andreea Ioana Gornea , Alexandru Calin , Paul Daniel Dumitru , Dan Alin Nedelcu , Radu Stefan Stoica This is my paper · ORCID
classification stat.AP
keywords analysisdataastro-geodeticbootstrapcomponentdeviationlinearmethodology
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The paper demonstrates the application of statistical based methodology for the analysis of the vertical deviation angle. The studied data set contains astro-geodetic observations. The Principal Component Analysis and the Multiple Linear Regression models are embedded within a bootstrap procedure, in order to overcome the difficulties related to data correlation, while taking advantage of all the information provided. The methodology is applied on real data. The obtained results indicate that the pressure, the temperature and the humidity are variables that may influence the measure of the vertical deviation.

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