ASYMPTOTIC NORMALITY OF BINOMIAL SEQUENTIAL STOPPING RULES

被引：0
|
作者：
WASAN, MT
机构：
来源：
ANNALS OF MATHEMATICAL STATISTICS | 1965年 / 36卷 / 05期
关键词：
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
引用
收藏
页码：1609 / &
相关论文
共 50 条
  • [1] ON ASYMPTOTIC NORMALITY OF 1-SIDED STOPPING RULES
    SIEGMUND, D
    [J]. ANNALS OF MATHEMATICAL STATISTICS, 1968, 39 (05): : 1493 - &
  • [2] ASYMPTOTIC NORMALITY OF STOPPING TIMES OF SOME SEQUENTIAL PROCEDURES
    BHATTACH.PK
    MALLIK, A
    [J]. ANNALS OF STATISTICS, 1973, 1 (06): : 1203 - 1211
  • [3] EDA on the asymptotic normality of the standardized sequential stopping times, Part-I: Parametric models
    Mukhopadhyay, Nitis
    Zhang, Chen
    [J]. SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2018, 37 (03): : 342 - 374
  • [4] ANALYSIS OF SEQUENTIAL STOPPING RULES
    Singham, Dashi I.
    Schruben, Lee W.
    [J]. PROCEEDINGS OF THE 2009 WINTER SIMULATION CONFERENCE (WSC 2009 ), VOL 1-4, 2009, : 685 - 692
  • [5] ASYMPTOTIC NORMALITY OF A SEQUENTIAL RANK STATISTIC
    BURGER, AP
    [J]. SOUTH AFRICAN STATISTICAL JOURNAL, 1978, 12 (01) : 87 - 87
  • [6] Monitoring shifts in mean: Asymptotic normality of stopping times
    Aue, Alexander
    Horvath, Lajos
    Kokoszka, Piotr
    Steinebach, Josef
    [J]. TEST, 2008, 17 (03) : 515 - 530
  • [7] Monitoring shifts in mean: Asymptotic normality of stopping times
    Alexander Aue
    Lajos Horváth
    Piotr Kokoszka
    Josef Steinebach
    [J]. TEST, 2008, 17 : 515 - 530
  • [8] Sequential stopping rules for species accumulation
    Christen, JA
    Nakamura, M
    [J]. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2003, 8 (02) : 184 - 195
  • [9] Sequential stopping rules for species accumulation
    J. Andrés Christen
    Miguel Nakamura
    [J]. Journal of Agricultural, Biological, and Environmental Statistics, 2003, 8 : 184 - 195
  • [10] EARLY STOPPING FOR SEQUENTIAL RESTRICTED TESTS OF BINOMIAL DISTRIBUTIONS
    DAMBROSIA, JM
    GREENHOUSE, SW
    [J]. BIOMETRICS, 1983, 39 (03) : 695 - 710
12345