| Year |
Citation |
Score |
| 2020 |
Wilcox RR. Inferences about which of J dependent groups has the largest robust measure of location. The British Journal of Mathematical and Statistical Psychology. PMID 32369607 DOI: 10.1111/bmsp.12205 |
0.325 |
|
| 2020 |
Wilcox R. Bivariate Analogs of the Wilcoxon–Mann–Whitney Test and the Patel–Hoel Method for Interactions Journal of Modern Applied Statistical Methods. 18: 2-14. DOI: 10.22237/jmasm/1556669880 |
0.341 |
|
| 2019 |
Wilcox R. Logistic Regression: An Inferential Method for Identifying the Best Predictors Journal of Modern Applied Statistical Methods. 17. DOI: 10.22237/JMASM/1551906905 |
0.346 |
|
| 2019 |
Wilcox R. Robust ANCOVA, Curvature, and the Curse of Dimensionality Journal of Modern Applied Statistical Methods. 17. DOI: 10.22237/JMASM/1551906370 |
0.31 |
|
| 2018 |
Wilcox RR. Robust regression: Testing global hypotheses about the slopes when there is multicollinearity or heteroscedasticity. The British Journal of Mathematical and Statistical Psychology. PMID 30468247 DOI: 10.1111/bmsp.12152 |
0.316 |
|
| 2018 |
Wilcox R, Peterson TJ, McNitt-Gray JL. Data Analyses When Sample Sizes Are Small: Modern Advances for Dealing With Outliers, Skewed Distributions, and Heteroscedasticity. Journal of Applied Biomechanics. 1-4. PMID 30045651 DOI: 10.1123/jab.2017-0269 |
0.325 |
|
| 2018 |
Wilcox R. Inferences Based on Robust Regression Estimators When There Is Multicolinearity Advances in Social Sciences Research Journal. 5. DOI: 10.14738/Assrj.55.4492 |
0.427 |
|
| 2017 |
Multach M, Wilcox R. Some Results on a Wilcoxon--Mann--Whitney Approach to Interactions in a Two-Way ANOVA Design. Advances in Social Sciences Research Journal. 4. DOI: 10.14738/Assrj.420.3774 |
0.469 |
|
| 2016 |
Estévez-Pérez G, Andrade JM, Wilcox RR. Bootstrap Approach To Compare the Slopes of Two Calibrations When Few Standards Are Available. Analytical Chemistry. 88: 2289-95. PMID 26751504 DOI: 10.1021/acs.analchem.5b04004 |
0.328 |
|
| 2016 |
Wilcox RR. Robust regression: an inferential method for determining which independent variables are most important Journal of Applied Statistics. 45: 100-111. DOI: 10.1080/02664763.2016.1268105 |
0.301 |
|
| 2016 |
Wilcox RR. Comparisons of two quantile regression smoothers Journal of Modern Applied Statistical Methods. 15: 62-77. |
0.305 |
|
| 2015 |
Wilcox RR. Within groups analysis of covariance: Multiple comparisons at specified design points using a robust measure location when there is curvature Journal of Statistical Computation and Simulation. 85: 3236-3246. DOI: 10.1080/00949655.2014.962536 |
0.322 |
|
| 2015 |
Wilcox RR, Ma J. Heteroscedastic methods for performing all pairwise comparisons of regression lines associated with J independent groups Methodology. 11: 110-115. DOI: 10.1027/1614-2241/a000097 |
0.322 |
|
| 2014 |
Wilcox RR, Clark F. Heteroscedastic Global Tests that the Regression Parameters for Two or More Independent Groups are Identical Communications in Statistics - Simulation and Computation. 44: 773-786. DOI: 10.1080/03610918.2013.784986 |
0.31 |
|
| 2014 |
Wilcox RR, Erceg-Hurn DM, Clark F, Carlson M. Comparing two independent groups via the lower and upper quantiles Journal of Statistical Computation and Simulation. 84: 1543-1551. DOI: 10.1080/00949655.2012.754026 |
0.375 |
|
| 2014 |
Wilcox RR, Clark F. Comparing robust regression lines associated with two dependent groups when there is heteroscedasticity Computational Statistics. 1-12. DOI: 10.1007/S00180-014-0485-2 |
0.36 |
|
| 2013 |
Wilcox RR, Vigen C, Clark F, Carlson M. Comparing discrete distributions when the sample space is small Universitas Psychologica. 12: 1583-1595. DOI: 10.11144/Javeriana.UPSY12-5.cdds |
0.37 |
|
| 2013 |
Ozdemir AF, Wilcox RR, Yildiztepe E. Comparing measures of location: Some small-sample results when distributions differ in Skewness and kurtosis under heterogeneity of variances Communications in Statistics: Simulation and Computation. 42: 407-424. DOI: 10.1080/03610918.2011.636163 |
0.337 |
|
| 2012 |
Wilcox RR, Keselman HJ. MODERN REGRESSION METHODS THAT CAN SUBSTANTIALLY INCREASE POWER AND PROVIDE A MORE ACCURATE UNDERSTANDING OF ASSOCIATIONS. European Journal of Personality. 26: 165-174. PMID 23626402 DOI: 10.1002/per.860 |
0.374 |
|
| 2012 |
Tian TS, James GM, Wilcox RR. A multivariate adaptive stochastic search method for dimensionality reduction in classification Annals of Applied Statistics. 6: 340-365. DOI: 10.1214/09-Aoas284 |
0.41 |
|
| 2012 |
Wilcox RR, Erceg-Hurn DM. Comparing two dependent groups via quantiles Journal of Applied Statistics. 39: 2655-2664. DOI: 10.1080/02664763.2012.724665 |
0.352 |
|
| 2012 |
Wilcox RR. Introduction to Robust Estimation and Hypothesis Testing Introduction to Robust Estimation and Hypothesis Testing. |
0.358 |
|
| 2011 |
Wilcox RR. Comparing the strength of association of two predictors via smoothers or robust regression estimators Journal of Modern Applied Statistical Methods. 10: 8-18. |
0.368 |
|
| 2010 |
Wilcox RR. Measuring and detecting associations: methods based on robust regression estimators or smoothers that allow curvature. The British Journal of Mathematical and Statistical Psychology. 63: 379-93. PMID 20021728 DOI: 10.1348/000711009X467618 |
0.315 |
|
| 2010 |
Ng M, Wilcox RR. Comparing the regression slopes of independent groups. The British Journal of Mathematical and Statistical Psychology. 63: 319-40. PMID 19807946 DOI: 10.1348/000711009X456845 |
0.357 |
|
| 2010 |
Wilcox RR. Fundamentals of modern statistical methods: Substantially improving power and accuracy Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy. 1-249. DOI: 10.1007/978-1-4419-5525-8 |
0.336 |
|
| 2010 |
Tian TS, Wilcox RR, James GM. Data reduction in classification: A simulated annealing based projection method Statistical Analysis and Data Mining. 3: 319-331. DOI: 10.1002/Sam.V3:5 |
0.425 |
|
| 2009 |
Wilcox RR. Robust ANCOVA using a smoother with bootstrap bagging. The British Journal of Mathematical and Statistical Psychology. 62: 427-37. PMID 18652737 DOI: 10.1348/000711008X325300 |
0.436 |
|
| 2009 |
Wilcox RR. Comparing robust measures of association estimated via a smoother Communications in Statistics: Simulation and Computation. 38: 1969-1979. DOI: 10.1080/03610910903180640 |
0.302 |
|
| 2009 |
Ng M, Wilcox RR. Level robust methods based on the least squares regression estimator Journal of Modern Applied Statistical Methods. 8: 384-395. |
0.337 |
|
| 2008 |
Keselman HJ, Algina J, Lix LM, Wilcox RR, Deering KN. A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes. Psychological Methods. 13: 110-29. PMID 18557681 DOI: 10.1037/1082-989X.13.2.110 |
0.369 |
|
| 2008 |
Wilcox RR. Robust principal components: a generalized variance perspective. Behavior Research Methods. 40: 102-8. PMID 18411532 DOI: 10.3758/BRM.40.1.102 |
0.301 |
|
| 2008 |
Wilcox RR, Tian T. Comparing dependent correlations. The Journal of General Psychology. 135: 105-12. PMID 18318411 DOI: 10.3200/GENP.135.1.105-112 |
0.376 |
|
| 2008 |
Wilcox RR. Some small-sample properties of some recently proposed multivariate outlier detection techniques Journal of Statistical Computation and Simulation. 78: 701-712. DOI: 10.1080/00949650701245041 |
0.308 |
|
| 2007 |
Keselman HJ, Wilcox RR, Lix LM, Algina J, Fradette K. Adaptive robust estimation and testing. The British Journal of Mathematical and Statistical Psychology. 60: 267-93. PMID 17971270 DOI: 10.1348/000711005X63755 |
0.334 |
|
| 2007 |
Wilcox RR. Robust ANCOVA: Some small-sample results when there are multiple groups and multiple covariates Journal of Applied Statistics. 34: 353-364. DOI: 10.1080/02664760601005053 |
0.373 |
|
| 2007 |
Wilcox RR, Sheather S, Brunner E, Schimek MG. Nonparametric and Robust Methods Computational Statistics and Data Analysis. 51: 5010-5012. DOI: 10.1016/J.Csda.2006.10.026 |
0.327 |
|
| 2007 |
Wilcox RR. An omnibus test when using a regression estimator with multiple predictors Journal of Modern Applied Statistical Methods. 6: 361-366. |
0.352 |
|
| 2006 |
Wilcox RR, Keselman HJ. Detecting heteroscedasticity in a simple regression model via quantile regression slopes Journal of Statistical Computation and Simulation. 76: 705-712. DOI: 10.1080/10629360500107923 |
0.357 |
|
| 2006 |
Wilcox RR. Some results on comparing the quantiles of dependent groups Communications in Statistics: Simulation and Computation. 35: 893-900. DOI: 10.1080/03610910600880260 |
0.343 |
|
| 2006 |
Wilcox RR. Comparing medians Computational Statistics and Data Analysis. 51: 1934-1943. DOI: 10.1016/j.csda.2005.12.008 |
0.385 |
|
| 2006 |
Wilcox RR. Pairwise comparisons of dependent groups based on medians Computational Statistics and Data Analysis. 50: 2933-2941. DOI: 10.1016/j.csda.2005.04.017 |
0.331 |
|
| 2006 |
Wilcox RR. ANCOVA: A robust omnibus test based on selected design points Journal of Modern Applied Statistical Methods. 5: 13-20. |
0.402 |
|
| 2006 |
Wilcox RR. Inferences about the components of a generalized additive model Journal of Modern Applied Statistical Methods. 5: 309-316. |
0.354 |
|
| 2005 |
Wilcox RR. An approach to ANCOVA that allows multiple covariates, nonlinearity, and heteroscedasticity Educational and Psychological Measurement. 65: 442-450. DOI: 10.1177/0013164404268670 |
0.306 |
|
| 2005 |
Wilcox RR. A comparison of six smoothers when there are multiple predictors Statistical Methodology. 2: 49-57. DOI: 10.1016/j.stamet.2004.11.004 |
0.352 |
|
| 2005 |
Wilcox RR. Within by within ANOVA based on medians Journal of Modern Applied Statistical Methods. 4: 2-10. |
0.398 |
|
| 2004 |
Othman AR, Keselman HJ, Padmanabhan AR, Wilcox RR, Fradette K. Comparing measures of the 'typical' score across treatment groups. The British Journal of Mathematical and Statistical Psychology. 57: 215-34. PMID 15511305 DOI: 10.1348/0007110042307159 |
0.367 |
|
| 2003 |
Wilcox RR, Keselman HJ. Modern robust data analysis methods: measures of central tendency. Psychological Methods. 8: 254-74. PMID 14596490 DOI: 10.1037/1082-989X.8.3.254 |
0.339 |
|
| 2003 |
Keselman HJ, Wilcox RR, Lix LM. A generally robust approach to hypothesis testing in independent and correlated groups designs. Psychophysiology. 40: 586-96. PMID 14570166 DOI: 10.1111/1469-8986.00060 |
0.383 |
|
| 2003 |
Wilcox RR. Multiple hypothesis testing based on the ordinary least squares regression estimator when there is heteroscedasticity Educational and Psychological Measurement. 63: 758-764. DOI: 10.1177/0095399703258230 |
0.339 |
|
| 2003 |
Wilcox RR. Multiple comparisons based on a modified one-step M-estimator Journal of Applied Statistics. 30: 1231-1241. DOI: 10.1080/0266476032000137463 |
0.322 |
|
| 2003 |
Wilcox RR. Two-sample, bivariate hypothesis testing methods based on Tukey's depth Multivariate Behavioral Research. 38: 225-246. |
0.404 |
|
| 2002 |
Wilcox RR. Comparing the variances of two independent groups. The British Journal of Mathematical and Statistical Psychology. 55: 169-75. PMID 12034018 DOI: 10.1348/000711002159635 |
0.314 |
|
| 2002 |
Keselman HJ, Cribbie RA, Wilcox RR. Pairwise multiple comparison tests when data are nonnormal Educational and Psychological Measurement. 62: 420-434. DOI: 10.1177/00164402062003002 |
0.34 |
|
| 2002 |
Wilcox RR. Multiple comparisons among dependent groups based on a modified one-step M-estimator Biometrical Journal. 44: 466-477. DOI: 10.1002/1521-4036(200206)44:4<466::AID-BIMJ466>3.0.CO;2-H |
0.364 |
|
| 2002 |
Wilcox RR, Keselman HJ. Within groups multiple comparisons based on robust measures of location Journal of Modern Applied Statistical Methods. 1: 281-287. |
0.304 |
|
| 2001 |
Wilcox RR. Pairwise comparisons of trimmed means for two or more groups Psychometrika. 66: 343-356. |
0.354 |
|
| 2000 |
Keselman HJ, Kowalchuk RK, Algina J, Lix LM, Wilcox RR. Testing treatment effects in repeated measures designs: trimmed means and bootstrapping. The British Journal of Mathematical and Statistical Psychology. 53: 175-91. PMID 11109703 DOI: 10.1348/000711000159286 |
0.365 |
|
| 2000 |
Keselman HJ, Kowalchuk RK, Algina J, Lix LM, Wilcox RR. Testing treatment effects in repeated measures designs: Trimmed means and bootstrapping British Journal of Mathematical and Statistical Psychology. 53: 175-191. |
0.365 |
|
| 2000 |
Wilcox RR. Rank-based tests for interactions in a two-way design when there are ties British Journal of Mathematical and Statistical Psychology. 53: 145-153. |
0.481 |
|
| 2000 |
Wilcox RR. Some exploratory methods for studying curvature in robust regression Biometrical Journal. 42: 335-347. |
0.344 |
|
| 1999 |
Wilcox RR, Muska J. Tests of hypotheses about regression parameters when using a robust estimator Communications in Statistics - Theory and Methods. 28: 2201-2212. |
0.345 |
|
| 1999 |
Keselman HJ, Wilcox RR. The 'improved' Brown and Forsythe test for mean equality: Some things can't be fixed Communications in Statistics Part B: Simulation and Computation. 28: 687-698. |
0.386 |
|
| 1999 |
Wilcox RR. Testing Hypotheses about Regression Parameters When the Error Term Is Heteroscedastic Biometrical Journal. 41: 411-426. |
0.307 |
|
| 1998 |
Wilcox RR. How Many Discoveries Have Been Lost by Ignoring Modern Statistical Methods? American Psychologist. 53: 300-314. |
0.361 |
|
| 1998 |
Wilcox RR. The goals and strategies of robust methods British Journal of Mathematical and Statistical Psychology. 51: 1-39. |
0.383 |
|
| 1998 |
Wilcox RR, Keselman HJ, Kowalchuk RK. Can tests for treatment group equality be improved?: The bootstrap and trimmed means conjecture British Journal of Mathematical and Statistical Psychology. 51: 123-134. |
0.323 |
|
| 1997 |
Wilcox RR. ANCOVA based on comparing a robust measure of location at empirically determined design points British Journal of Mathematical and Statistical Psychology. 50: 93-103. |
0.327 |
|
| 1997 |
Wilcox RR. Tests of independence and zero correlations among P random variables Biometrical Journal. 39: 183-193. |
0.314 |
|
| 1997 |
Wilcox RR. A bootstrap modification of the Alexander-Govern anova method, plus comments on comparing trimmed means Educational and Psychological Measurement. 57: 655-665. |
0.341 |
|
| 1997 |
Wilcox RR. Pairwise comparisons using trimmed means or M-estimators when working with dependent groups Biometrical Journal. 39: 677-688. |
0.307 |
|
| 1996 |
Wilcox RR. Confidence intervals for the slope of a regression line when the error term has nonconstant variance Computational Statistics and Data Analysis. 22: 89-98. DOI: 10.1016/0167-9473(95)00038-0 |
0.36 |
|
| 1996 |
Wilcox RR. Confidence intervals for two robust regression lines with a heteroscedastic error term British Journal of Mathematical and Statistical Psychology. 49: 163-170. |
0.325 |
|
| 1996 |
Wilcox RR. A note on testing hypotheses about trimmed means Biometrical Journal. 38: 173-180. |
0.3 |
|
| 1996 |
Wilcox RR. A review of some recent developments in robust regression British Journal of Mathematical and Statistical Psychology. 49: 253-274. |
0.368 |
|
| 1996 |
Wilcox RR. Estimation in the simple linear regression model when there is heteroscedasticity of unknown form Communications in Statistics - Theory and Methods. 25: 1305-1324. |
0.336 |
|
| 1995 |
Wilcox RR. ANOVA: A Paradigm for Low Power and Misleading Measures of Effect Size? Review of Educational Research. 65: 51-77. DOI: 10.3102/00346543065001051 |
0.3 |
|
| 1995 |
Wilcox RR. Testing the Hypothesis of Independence Between Two Sets of Variates Multivariate Behavioral Research. 30: 213-225. DOI: 10.1207/s15327906mbr3002_5 |
0.363 |
|
| 1995 |
Wilcox RR. ANOVA: The practical importance of heteroscedastic methods, using trimmed means versus means, and designing simulation studies British Journal of Mathematical and Statistical Psychology. 48: 99-114. DOI: 10.1111/j.2044-8317.1995.tb01052.x |
0.356 |
|
| 1994 |
Wilcox RR. A one-way random effects model for trimmed means Psychometrika. 59: 289-306. DOI: 10.1007/BF02296126 |
0.307 |
|
| 1992 |
Wilcox RR. Comparing one-step m-estimators of location corresponding to two independent groups Psychometrika. 57: 141-154. DOI: 10.1007/BF02294663 |
0.309 |
|
| 1990 |
Wilcox RR. Comparing variances and means when distributions have non-identical shapes Communications in Statistics - Simulation and Computation. 19: 155-173. DOI: 10.1080/03610919008812850 |
0.314 |
|
| Show low-probability matches. |