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 rFile | Dimensione | Formato | |
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https://hdl.handle.net/11583/2994625