Predicting future failures in generalized order statistics and related models

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-08-01 DOI:10.1080/02331888.2024.2379612

Francesco Buono, Erhard Cramer, Jorge Navarro

引用次数: 0

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, s...

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预测广义阶次统计和相关模型中的未来故障

本文考虑了广义阶次统计的量子回归预测，扩展了之前针对记录值和阶次统计建立的结果。为了推导出这些结果，...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Statistics 数学-统计学与概率论

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.