Abstract
There are different definitions for multivariate records which are based on component-wise approach. In this paper, a new approach based on the notion of depth is employed for introducing a depth-based record as a different multivariate record. This record is more in line with univariate records, has Markovian property, ascertained marginal and joint distributions, and some other exclusive features compared to other records. The depth-based procedure can recognize records satisfactorily. The performance of which is evaluated through studying the drought in Kermanshah, Iran, and the air pollution in Leeds, England. The outputs confirm the suitable potency of depth-based record procedure.
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