A comparison of design alternatives for generalized linear models

被引:0
|
作者
Arnoldsson, G [1 ]
机构
[1] Mid Sweden Univ, Dept Informat, S-85170 Sundsvall, Sweden
关键词
generalized linear models; binary response; experimental design; D-optimality; allocation; efficiency;
D O I
10.1080/03610929808832653
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Two-point or three-point designs for estimation in two-parameter generalized linear models are compared with respect to D-efficiency. The models are restricted to four binary response models. Results indicate that a non-optimal design may still perform well compared to the globally D-optimal design.
引用
收藏
页码:107 / 120
页数:14
相关论文
共 50 条
  • [31] Generalized linear models
    McCulloch, CE
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2000, 95 (452) : 1320 - 1324
  • [32] Generalized linear models
    Burzykowski, Tomasz
    Geubbelmans, Melvin
    Rousseau, Axel-Jan
    Valkenborg, Dirk
    [J]. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2023, 164 (04) : 604 - 606
  • [33] GENERALIZED LINEAR MODELS
    NELDER, JA
    WEDDERBURN, RW
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-GENERAL, 1972, 135 (03): : 370 - +
  • [34] Generalized linear models
    Zezula, Ivan
    [J]. BIOMETRIC METHODS AND MODELS IN CURRENT SCIENCE AND RESEARCH, 2011, : 39 - 58
  • [35] Bayesian model comparison in generalized linear models across multiple groups
    Liao, TFT
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2002, 39 (03) : 311 - 327
  • [36] Asymptotics of Subsampling for Generalized Linear Regression Models under Unbounded Design
    Teng, Guangqiang
    Tian, Boping
    Zhang, Yuanyuan
    Fu, Sheng
    [J]. ENTROPY, 2023, 25 (01)
  • [37] A MAXIMIN FP-EFFICIENT DESIGN FOR MULTIVARIATE GENERALIZED LINEAR MODELS
    Li, Yiou
    Kang, Lulu
    Deng, Xinwei
    [J]. STATISTICA SINICA, 2022, 32 : 2047 - 2069
  • [38] ROBUST SIMULATION DESIGN FOR GENERALIZED LINEAR MODELS IN CONDITIONS OF HETEROSCEDASTICITY OR CORRELATION
    Gill, Andrew
    Warne, David J.
    McGrory, Clare
    McGree, James M.
    Overstall, Antony M.
    [J]. 2022 WINTER SIMULATION CONFERENCE (WSC), 2022, : 37 - 48
  • [39] A comparison between bootstrap methods and generalized estimating equations for correlated outcomes in generalized linear models
    Sherman, M
    leCessie, S
    [J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1997, 26 (03) : 901 - 925
  • [40] Linear Models are Most Favorable among Generalized Linear Models
    Lee, Kuan-Yun
    Courtade, Thomas A.
    [J]. 2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2020, : 1213 - 1218