Estimation of the parameters in a Pareto distribution by jackknife and bootstrap method

被引：0
|
作者：
机构：
来源：
J Inf Optim Sci | / 2卷 / 289期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] The threshold bootstrap and threshold jackknife
    Park, D
    Willemain, TR
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 1999, 31 (02) : 187 - 202
  • [32] A NOTE ON THE JACKKNIFE, THE BOOTSTRAP AND THE DELTA METHOD ESTIMATORS OF BIAS AND VARIANCE
    PARR, WC
    BIOMETRIKA, 1983, 70 (03) : 719 - 722
  • [33] JACKKNIFE APPROXIMATIONS TO BOOTSTRAP ESTIMATES
    BERAN, R
    ANNALS OF STATISTICS, 1984, 12 (01): : 101 - 118
  • [34] Bootstrap method for inversion and precision estimation of earthquake source parameters
    Wang LeYang
    Li ZhiQiang
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 64 (06): : 2001 - 2016
  • [35] A bootstrap goodness of fit test for the generalized Pareto distribution
    Villasenor-Alva, Jose A.
    Gonzalez-Estrada, Elizabeth
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2009, 53 (11) : 3835 - 3841
  • [36] Bootstrap control charts for the generalized Pareto distribution percentiles
    Burkhalter, Ruth
    Lio, Yuhlong
    CHILEAN JOURNAL OF STATISTICS, 2021, 12 (01): : 3 - 21
  • [37] A Jackknife method for estimation of variance components
    Lavergne, C
    STATISTICS, 1995, 27 (1-2) : 1 - 13
  • [38] Estimation of exponential Pareto parameters
    Ismail, Suhair Khatan
    AL-Sabbah, Shrook A. S.
    Moahammed, Shaima Mahood
    Nassif, Montazer Mustafa
    Ramadan, Eqbal Qasim
    INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS, 2022, 13 (01): : 2385 - 2394
  • [39] Bootstrap, Jackknife and COLS: Bias and Mean Squared Error in Estimation of Autoregressive Models
    Liu-Evans, Gareth D.
    Phillips, Garry D. A.
    JOURNAL OF TIME SERIES ECONOMETRICS, 2012, 4 (02)
  • [40] An assessment of the jackknife and bootstrap procedures on uncertainty estimation in the variable importance in the projection metric
    Afanador, N. L.
    Tran, T. N.
    Buydens, L. M. C.
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2014, 137 : 162 - 172
12345