The Significance of a Square-Root Rule

被引：0
|
作者：
Foster, Colin [1 ]
机构：
[1] King Henry VIII Sch, Coventry CV3 6AQ, W Midlands, England
来源：
AMERICAN STATISTICIAN | 2011年 / 65卷 / 04期
关键词：
Binomial distribution; Hypothesis testing; Statistical significance;
D O I：
10.1198/tas.2011.11160
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：
In this article, I comment on a rough square-root rule for statistical significance which turns out to be equivalent to testing whether an observation lies within one standard deviation of that expected.
引用
收藏
页码：222 / 222
页数：1
相关论文
共 50 条
  • [1] THE SQUARE-ROOT OF NOT
    HAYES, B
    AMERICAN SCIENTIST, 1995, 83 (04) : 304 - 308
  • [2] Improved bounds for Square-Root Lasso and Square-Root Slope
    Derumigny, Alexis
    ELECTRONIC JOURNAL OF STATISTICS, 2018, 12 (01): : 741 - 766
  • [3] SQUARE-ROOT RULE OF TWO-DIMENSIONAL BANDWIDTH PROBLEM
    Lin, Lan
    Lin, Yixun
    RAIRO-THEORETICAL INFORMATICS AND APPLICATIONS, 2011, 45 (04): : 399 - 411
  • [4] Minimizing the mean majority deficit: The second square-root rule
    Felsenthal, DS
    Machover, M
    MATHEMATICAL SOCIAL SCIENCES, 1999, 37 (01) : 25 - 37
  • [5] The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds
    Clemens, Joachim
    Wellhausen, Constantin
    SENSORS, 2024, 24 (20)
  • [6] SQUARE-ROOT OF A RECURRENCE
    COOPER, C
    KENNEDY, RE
    FIBONACCI QUARTERLY, 1994, 32 (02): : 185 - 186
  • [7] SQUARE-ROOT OF A RECURRENCE
    DRESEL, LAG
    LORD, G
    FIBONACCI QUARTERLY, 1994, 32 (04): : 374 - 376
  • [8] The Square-Root Lasso
    van de Geer, Sara
    ESTIMATION AND TESTING UNDER SPARSITY: ECOLE D'ETE DE PROBABILITES DE SAINT-FLOUR XLV - 2015, 2016, 2159 : 27 - 39
  • [9] SQUARE-ROOT VALVE
    HOUTMAN, H
    REVIEW OF SCIENTIFIC INSTRUMENTS, 1995, 66 (03): : 2734 - 2735
  • [10] Optimal dividends under a drawdown constraint and a curious square-root rule
    Hansjörg Albrecher
    Pablo Azcue
    Nora Muler
    Finance and Stochastics, 2023, 27 : 341 - 400
12345