Quantile-based metrics applied to process performance

被引：0
|
作者：
机构：
[1] Houston, Ben F.
来源：
Houston, B.F. (b.houston@att.net) | 2005年 / Taylor and Francis Inc.卷 / 17期
关键词：
13;
D O I：
10.1080/08982110500227170
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Kernel quantile-based estimation of expected shortfall
    Yu, Keming
    Ally, Abdallah K.
    Yang, Shanchao
    Hand, David J.
    JOURNAL OF RISK, 2010, 12 (04): : 15 - 32
  • [42] The quantile-based empirical likelihood for the difference of quantiles
    Dai, Lichun
    Liu, Pengfei
    Liu, Yiming
    Yang, Guangren
    STATISTICS & PROBABILITY LETTERS, 2025, 216
  • [43] A Quantile-Based Approach for Transmission Expansion Planning
    Cervantes, Jairo
    Choobineh, F. Fred
    IEEE ACCESS, 2020, 8 : 82630 - 82640
  • [44] Bivariate Quantile-Based Entropy in Past Lifetime
    Subhash, Silpa
    Nair, N. Unnikrishnan
    Sunoj, S. M.
    Rajesh, G.
    JOURNAL OF THE INDIAN SOCIETY FOR PROBABILITY AND STATISTICS, 2022, 23 (01) : 187 - 209
  • [45] Quantile-Based Shannon Entropy for Record Statistics
    Kumar, Vikas
    Dangi, Bhawna
    COMMUNICATIONS IN MATHEMATICS AND STATISTICS, 2023, 11 (02) : 283 - 306
  • [46] Bivariate Quantile-Based Entropy in Past Lifetime
    Silpa Subhash
    N. Unnikrishnan Nair
    S. M. Sunoj
    Rajesh G.
    Journal of the Indian Society for Probability and Statistics, 2022, 23 : 187 - 209
  • [47] Quantile-based residual Matusita's measure
    Joseph, Chinu
    Mathew, Angel
    JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE, 2025,
  • [48] The tenets of quantile-based inference in Bayesian models
    Perepolkin, Dmytro
    Goodrich, Benjamin
    Sahlin, Ullrika
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2023, 187
  • [49] Quantile-based spatiotemporal risk assessment of exceedances
    Romero, J. L.
    Madrid, A. E.
    Angulo, J. M.
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 32 (08) : 2275 - 2291
  • [50] Quantile-based spatiotemporal risk assessment of exceedances
    J. L. Romero
    A. E. Madrid
    J. M. Angulo
    Stochastic Environmental Research and Risk Assessment, 2018, 32 : 2275 - 2291
12345