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ORCIDRand R. Wilcox
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2020 – today
- 2024
[j21]Rand R. Wilcox:
A note on computing a confidence interval for the mean. Commun. Stat. Simul. Comput. 53(1): 164-166 (2024)- [j20]A. Firat Özdemir
, Engin Yildiztepe, Rand R. Wilcox:
A new test for comparing J independent groups by using one-step M-estimator and bootstrap-t. Commun. Stat. Simul. Comput. 53(7): 3221-3233 (2024) - [j19]Luca Greco, George Luta, Rand R. Wilcox:
On testing the equality between interquartile ranges. Comput. Stat. 39(5): 2873-2898 (2024) - 2022
- [j18]Rand R. Wilcox:
Comparing the variances or robust measures of scale of two dependent variables. Commun. Stat. Simul. Comput. 51(11): 6610-6620 (2022) - 2020
- [j17]Allan Campopiano, Rand R. Wilcox:
Hypothesize: Robust Statistics for Python. J. Open Source Softw. 5(55): 2241 (2020)
2010 – 2019
- 2018
- [j16]A. Firat Özdemir, Rand R. Wilcox, Engin Yildiztepe:
Comparing J independent groups with a method based on trimmed means. Commun. Stat. Simul. Comput. 47(3): 852-863 (2018) - 2017
- [j15]Rand R. Wilcox:
Global comparisons of medians and other quantiles in a one-way design when there are tied values. Commun. Stat. Simul. Comput. 46(4): 3010-3019 (2017) - 2016
- [j14]Rand R. Wilcox:
ANCOVA: a heteroscedastic global test when there is curvature and two covariates. Comput. Stat. 31(4): 1593-1606 (2016) - 2015
- [j13]Rand R. Wilcox, Florence Clark:
Heteroscedastic Global Tests that the Regression Parameters for Two or More Independent Groups are Identical. Commun. Stat. Simul. Comput. 44(3): 773-786 (2015) - 2014
- [j12]Rand R. Wilcox, Florence Clark:
Comparing robust regression lines associated with two dependent groups when there is heteroscedasticity. Comput. Stat. 29(5): 1175-1186 (2014) - 2013
- [j11]A. Firat Özdemir, Rand R. Wilcox, Engin Yildiztepe:
Comparing Measures of Location: Some Small-Sample Results When Distributions Differ in Skewness and Kurtosis Under Heterogeneity of Variances. Commun. Stat. Simul. Comput. 42(2): 407-424 (2013) - 2012
- [j10]A. Firat Özdemir, Rand R. Wilcox:
New Results on the Small-Sample Properties of Some Robust Univariate Estimators of Location. Commun. Stat. Simul. Comput. 41(9): 1544-1556 (2012) - 2010
- [j9]Tian Siva Tian, Rand R. Wilcox, Gareth M. James:
Data reduction in classification: A simulated annealing based projection method. Stat. Anal. Data Min. 3(5): 319-331 (2010)
2000 – 2009
- 2009
- [j8]Rand R. Wilcox:
Robust Multivariate Regression When There is Heteroscedasticity. Commun. Stat. Simul. Comput. 38(1): 1-13 (2009) - [j7]Rand R. Wilcox:
Comparing Robust Measures of Association Estimated Via a Smoother. Commun. Stat. Simul. Comput. 38(9): 1969-1979 (2009) - [j6]Rand R. Wilcox:
Comparing Pearson Correlations: Dealing with Heteroscedasticity and Nonnormality. Commun. Stat. Simul. Comput. 38(10): 2220-2234 (2009) - 2007
- [j5]B. Fournier, N. Rupin, Maxence Bigerelle, D. Najjar, Alain Iost, Rand R. Wilcox:
Estimating the parameters of a generalized lambda distribution. Comput. Stat. Data Anal. 51(6): 2813-2835 (2007) - [j4]Rand R. Wilcox, Simon Sheather, Edgar Brunner, Michael G. Schimek:
Nonparametric and Robust Methods. Comput. Stat. Data Anal. 51(10): 5010-5012 (2007) - 2006
- [j3]Rand R. Wilcox:
Pairwise comparisons of dependent groups based on medians. Comput. Stat. Data Anal. 50(10): 2933-2941 (2006) - [j2]Rand R. Wilcox:
Comparing medians. Comput. Stat. Data Anal. 51(3): 1934-1943 (2006) - 2003
- [j1]Rand R. Wilcox:
Inferences based on multiple skipped correlations. Comput. Stat. Data Anal. 44(1-2): 223-236 (2003)
Coauthor Index
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