Abstract
This paper discusses the performance assessment of the generalized DIA estimators. Based on the unifying framework of the DIA estimators introduced by Teuniseen (2018), quality control indices from three aspects are discussed and formulated, to measure the confidence levels of the testing decisions, to evaluate the reliability of the specified alternative hypothesis models, as well as to compute the biasedness, dispersion and integrity of the estimated parameters under an unconditional case,by taking the uncertainty of the combined estimation-testing procedure into account and performing the propagation of uncertainty accordingly. With a dual-constellation GNSS single-point positioning example, the quality control evaluation of and comparisons among three conventional used DIA estimators are demonstrated for practical applications.
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