The paper presents the main principles of extending stationary data models relevant for testing the navigation equipment. Two groups of extended data models are considered. The first group includes stationary random processes with the added systematic errors; the second group is a set of random processes with stationary increments. The features of the described nonstationary data models are considered. Parameter estimation methods in ex-tended models and conditions for consistent estimates are discussed. Consistency conditions are compared with those for stationary models.
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T. N. Siraya (2026) studied this question.
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