A research project - The Evaluation of Observational Error Modelling Using the Method of Minimum Likelihood Estimates. (UTM/RMC Grant 71064 – Principal Investigator)
This work was the second research project with funding received from RMC. To give more clues of what this research is all about the title of this research can be re-phrased as the assessment of accuracy of surveying measurement data or the variance components estimation of surveying observation data. So the focus of this work is to evaluate the accuracy of surveying observation data or to estimate the standard deviation to each data. Such evaluation is needed for the purpose of least squares adjustment. The standard deviation of surveying data is to be used to compute the weight matrix in LSA procedure.
The evaluation of observational error has become a topic of interest among geodetic community in the field of spatial adjustment methodology. There were many methods have been developed to model and to evaluate the observational error. In this research work the method of Maximum Likelihood Estimate (MLE) was employed. Other methods available for the purpose of variance component estimation are Almost Unbiased Estimates (AUE) and Minimum Norm Quadratic Estimates (MINQE) and many more.
Research report (Vote 71064)
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