Quantile regression predictions are considered for generalized order statistics which extend results previously established for record values and order statistics. In order to derive the results, some (univariate and bivariate) distortion representations of generalized order statistics are established. In particular, prediction of the sth generalized order statistic (Formula presented.) based on F given a single (generalized) order statistic (Formula presented.) with r

Predicting future failures in generalized order statistics and related models / Buono, F.; Cramer, E.; Navarro, J.. - In: STATISTICS. - ISSN 0233-1888. - 58:4(2024), pp. 918-942. [10.1080/02331888.2024.2379612]

Predicting future failures in generalized order statistics and related models

Buono F.;
2024

Abstract

Quantile regression predictions are considered for generalized order statistics which extend results previously established for record values and order statistics. In order to derive the results, some (univariate and bivariate) distortion representations of generalized order statistics are established. In particular, prediction of the sth generalized order statistic (Formula presented.) based on F given a single (generalized) order statistic (Formula presented.) with r
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2994625