Estimation after sequential selection and ranking

被引：0
|
作者：
N. Mukhopadhyay
T. K. S. Solanky
机构：
[1] Univ. of Connecticut,Department of Statistics
[2] University of New Orleans,Department of Mathematics
来源：
Metrika | 1997年 / 45卷
关键词：
Sequential selection procedures; normal populations; common unknown scale; bias; mean square error; confidence regions; asymptotics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Problems of estimating parameters from normal populations after the completion of the purely sequential selection and ranking methodology are addressed. Various second-order asymptotic characteristics associated with natural estimators are presented.
引用
收藏
页码：95 / 106
页数：11
相关论文
共 50 条
  • [21] A CLASS OF THREE STAGE PROCEDURES WITH APPLICATIONS TO ESTIMATION, RANKING AND SELECTION PROCEDURES
    Sinha, Archna
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2019, 15 (02): : 795 - 799
  • [22] First-Stage Sampling in Ranking and Selection: Beyond Variance Estimation
    Fan, Weiwei
    Li, Xuewen
    Luo, Jun
    Tsai, Shing Chih
    OPERATIONS RESEARCH, 2025,
  • [23] A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection
    Frazier, Peter I.
    OPERATIONS RESEARCH, 2014, 62 (04) : 926 - 942
  • [24] RANKING METHODOLOGY FOR SEQUENTIAL BAND SELECTION COMBINING DATA DISPERSION AND SPECTRAL BAND CORRELATION
    Llaveria, David
    Camps, Adriano
    Park, Hyuk
    Narayan, Ram
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 775 - 778
  • [25] Using ranking and selection to "clean up" after simulation optimization
    Boesel, J
    Nelson, BL
    Kim, SH
    OPERATIONS RESEARCH, 2003, 51 (05) : 814 - 825
  • [26] Sequential Monte Carlo for model selection and estimation of neural networks
    Andrieu, C
    deFreitas, N
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 3410 - 3413
  • [27] Sequential Underspecified Instrument Selection for Cause-Effect Estimation
    Ailer, Elisabeth
    Hartford, Jason
    Kilbertus, Niki
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 202, 2023, 202 : 408 - 420
  • [28] A particle algorithm for sequential Bayesian parameter estimation and model selection
    Lee, DS
    Chia, NKK
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) : 326 - 336
  • [29] SEQUENTIAL ESTIMATION OVER NOISY CHANNELS WITH DISTRIBUTED NODE SELECTION
    Wimalajeewa, Thakshila
    Jayaweera, Sudharman K.
    MILCOM 2009 - 2009 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1-4, 2009, : 1007 - 1013
  • [30] Ranking: Is it really sequential choice?
    Schibrowsky, JA
    Peltier, JW
    ADVANCES IN CONSUMER RESEARCH, VOL XXII, 1995, 22 : 71 - 77
12345