Model supervisions reveal distributions of measuring errors in navigation parameters, suggesting alternatives to normal law.
It is indicated, that in last ten years the conducted model supervisions set the fact of distributing of errors of the navigation measuring not only on a normal law and laws with the “made heavier tails” were offered, that caused the necessity of verification of hypothesis about possibility of distributing of error of measuring on alternative laws by experimental information. It is shown that during the trip of ship the model supervisions were conducted, the results of which are resulted in the article. With the purpose of verification of possibility of application of alternative laws for description of distributing of errors of measuring of navigation parameters the model supervisions were conducted in the real external environments. For forming of initial selections of errors of measuring of navigation parameters the series of measuring of navigation parameters were produced by an amount more than 100 measuring. Measuring of navigation parameters were produced on the stand of ship, thus by radar distance and bearing on an immobile reference point was measured. During a trip 4 series of measuring of navigation parameters were got, each of which in an aggregate represented the selection of errors. It is shown that dispersion and fourth central moment of errors settled accounts for every selection. On every selection a histogram was built and verification of statistical hypotheses is produced, which the degree of consent of statistical material of selection with orthogonal decomposition of closeness of probability distribution of errors of measuring with one member was determined in the process of. The expected values are represented criterion of the Pyrson consent for each of four selections. It is set that the got values of criterion of the Pyrson consent confirm legitimacy of the use of orthogonal decomposition of closeness of distributing of errors of measuring with one member.
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I. Yu. Fusar (2019) studied this question.
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