Modern robust data analysis methods: Measures of central tendency

被引:305
作者
Wilcox, RR [1 ]
Keselman, HJ
机构
[1] Univ So Calif, Dept Psychol, Los Angeles, CA 90089 USA
[2] Univ Manitoba, Dept Psychol, Winnipeg, MB R3T 2N2, Canada
关键词
D O I
10.1037/1082-989X.8.3.254
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Various statistical methods, developed after 1970, offer the opportunity to substantially improve upon the power and accuracy of the conventional t test and analysis of variance methods for a wide range of commonly occurring situations. The authors briefly review some of the more fundamental problems with conventional methods based on means; provide some indication of why recent advances, based on robust measures of location (or central tendency), have practical value; and describe why modem investigations dealing with nonnormality find practical problems when comparing means, in contrast to earlier studies. Some suggestions are made about how to proceed when using modem methods.
引用
收藏
页码:254 / 274
页数:21
相关论文
共 57 条
[1]  
[Anonymous], 2002, Journal of Modern Applied Statistical Methods, DOI DOI 10.22237/jmasm/1036109820
[2]  
[Anonymous], 2017, Introduction to robust estimation and hypothesis testing
[3]  
[Anonymous], 1998, A History of Mathematical Statistics from 1750 to 1930
[4]  
[Anonymous], 1993, Resampling-based multiple testing: Examples and methods for P-value adjustment
[5]  
[Anonymous], 2014, Ordinal Methods for Behavioral Data Analysis
[6]  
[Anonymous], THESIS U SO CALIFORN
[7]   THE NONEXISTENCE OF CERTAIN STATISTICAL PROCEDURES IN NONPARAMETRIC PROBLEMS [J].
BAHADUR, RR ;
SAVAGE, LJ .
ANNALS OF MATHEMATICAL STATISTICS, 1956, 27 (04) :1115-1122
[8]  
Barnett V., 1994, Outliers in Statistical Data, V3rd
[9]   Monte Carlo approximation of bootstrap variances [J].
Booth, JG ;
Sarkar, S .
AMERICAN STATISTICIAN, 1998, 52 (04) :354-357
[10]   SOME THEOREMS ON QUADRATIC FORMS APPLIED IN THE STUDY OF ANALYSIS OF VARIANCE PROBLEMS .1. EFFECT OF INEQUALITY OF VARIANCE IN THE ONE-WAY CLASSIFICATION [J].
BOX, GEP .
ANNALS OF MATHEMATICAL STATISTICS, 1954, 25 (02) :290-302