On detecting outliers in complex data using Dixon?s test under neutrosophic statistics

被引：0
|
作者：
Aslam, Muhammad [1 ]
机构：
[1] King Abdulaziz Univ, Dept Stat, Fac Sci, Jeddah 21551, Saudi Arabia
来源：
JOURNAL OF KING SAUD UNIVERSITY SCIENCE | 2020年 / 32卷 / 03期
关键词：
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
引用
收藏
页码：2005 / 2008
页数：4
相关论文
共 50 条
  • [11] A recursive version of Grubbs' test for detecting multiple outliers in environmental and chemical data
    Jain, Ram B.
    CLINICAL BIOCHEMISTRY, 2010, 43 (12) : 1030 - 1033
  • [12] Detecting outliers in complex profiles using a 2 control chart method
    Zhang, Hang
    Albin, Susan
    IIE TRANSACTIONS, 2009, 41 (04) : 335 - 345
  • [13] Using Data Science for Detecting Outliers with k Nearest Neighbors Graph
    Asniar
    Surendro, Kridanto
    2014 INTERNATIONAL CONFERENCE ON ICT FOR SMART SOCIETY (ICISS), 2014, : 300 - 304
  • [14] Bayes Estimator Under Neutrosophic Statistics: A Robust Approach for Handling Uncertainty and Imprecise Data
    Aslam, Muhammad
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2024, 26 (04)
  • [15] Detecting Outliers Using Modified Recursive PCA Algorithm For Dynamic Streaming Data
    Dani Y.
    Gunawan A.Y.
    Khodra M.L.
    Indratno S.W.
    Mendel, 2023, 29 (02) : 237 - 244
  • [16] Detecting Visual Differences in Reconstructed Images Using a Region-Based Test for Outliers
    Gerganov, G.
    Mitev, K.
    Schmidtlein, C. R.
    Kang, H.
    Kirov, A. S.
    Kawrakow, I.
    2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2010, : 2346 - 2351
  • [17] A Test Detecting the Outliers for Continuous Distributions Based on the Cumulative Distribution Function of the Data Being Tested
    Jantschi, Lorentz
    SYMMETRY-BASEL, 2019, 11 (06):
  • [18] On the Power of Pearson's Test under Local Alternatives in Autoregression with Outliers
    Boldin, M. V.
    MATHEMATICAL METHODS OF STATISTICS, 2019, 28 (01) : 57 - 65
  • [19] On the Power of Pearson’s Test under Local Alternatives in Autoregression with Outliers
    M. V. Boldin
    Mathematical Methods of Statistics, 2019, 28 : 57 - 65
  • [20] Remarks on Bhandary and Bansal's test for detection of outliers in familial data
    Giraudeau, B
    Chastang, C
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1999, 28 (08) : 2021 - 2024
12345