Joseph W. McKean

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A Monte Carlo study of traditional and rank-based picked-points analyses

Kuanwong Watcharotone, Joseph W. McKean, Bradley E. Huitema, 2015, Commun. Stat. Simul. Comput..

Robust Nonparametric Statistical Methods, Second Edition

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 2010 .

Using sliced mean variance–covariance inverse regression for classification and dimension reduction

Charles Lindsey, Simon J. Sheather, Joseph W. McKean, 2014, Comput. Stat..

A Graphical Representation for Non-Parametric Inference

Thomas P. Hettmansperger, Joseph W. McKean, 1974 .

Sliced mean variance-covariance inverse regression

Simon J. Sheather, Joseph W. McKean, Kimberly Crimin, 2008, Comput. Stat. Data Anal..

A Monte Carlo study of REML and robust rank-based analyses for the random intercept mixed model

Hend Auda, Joseph W. McKean, John Kloke, 2019, Commun. Stat. Simul. Comput..

Partial Residual Plots Based on Robust Fits

Simon J. Sheather, Joseph W. McKean, S. Sheather, 2000, Technometrics.

Rfit: Rank-based Estimation for Linear Models

Joseph W. McKean, John Kloke, J. McKean, 2012, R J..

A Guide to Developing Experimental Plans

Joseph W. McKean, Marshall N. Brunden, Thomas J. Vidmar, 2019 .

Application of component-wise rank method to bivariate bioequivalence case

Joseph W. McKean, Srinand P. Nandakumar, 2011 .

Lack of statistical rigor in composite materials experimentation and lessons learned from the science of medicine

John A. Kapenga, Peter A. Gustafson, Joseph W. McKean, 2014 .

Optimal Experimental Designs — New Plans For Drug Combination Studies

Joseph W. McKean, Marshall N. Brunden, Thomas J. Vidmar, 2019 .

Getting Started with R

Joseph W. McKean, John Kloke, John Kloke, 2014 .

R: An open source system for statistics and data exploration

John A. Kapenga, Peter A. Gustafson, Joseph W. McKean, 2014 .

Studentized Autoregressive Time Series Residuals

Joseph W. McKean, Kirk Anderson, Jeffrey T. Terpstra, 2003, Comput. Stat..

Irrelevant autocorrelation in least-squares intervention models.

Joseph W. McKean, Bradley E. Huitema, J. McKean, 1998 .

Time to Event Analysis

Joseph W. McKean, John Kloke, 2014 .

Exploring data sets using partial residual plots based on robust fits

Simon J. Sheather, Joseph W. McKean, 1997 .

Experimental Designs: Fixed Effects

Thomas P. Hettmansperger, Joseph W. McKean, 2010 .

Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample”

Simon J. Sheather, Joseph W. McKean, S. Sheather, 2018, Stat. Methods Appl..

Two Reduced-Bias Autocorrelation Estimators: rF1 and rF2

Joseph W. McKean, Bradley E. Huitema, 1994 .

An Estimator of the Scale Parameter for the Rank Analysis of Linear Models under General Score Functions

Hira L. Koul, Joseph W. McKean, H. Koul, 1987 .

Rank regression with estimated scores

Joseph W. McKean, Joshua D. Naranjo, J. McKean, 1997 .

The Use and Interpretation of Residuals Based on Robust Estimation

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1993 .

Iterated reweighted rank-based estimates for GEE models

Joseph W. McKean, Asheber Abebe, John Kloke, 2016 .

On the robust rank analysis of linear models with nonsymmetric error distributions

Joseph W. McKean, J. McKean, Gerald L. Sievers, 1986 .

Rank Based Inference

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 2014 .

A Monte Carlo study of robust and least squares response surface methods

Joseph W. McKean, Thomas J. Vidmar, J. McKean, 1996 .

Rank scores suitable for analyses of linear models under asymmetric error distributions

Joseph W. McKean, G. L. Sievers, 1989 .

Multivariate L-estimation

Jean Meloche, Ricardo Fraiman, Alfonso Gordaliza, 1999 .

Reduced Bias Autocorrelation Estimation:Three Jackknife Methods

Joseph W. McKean, Bradley E. Huitema, 1994 .

Robust Diagnostics for Rank-Based Inference

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1988 .

Finite sample stability properties of the least median of squares estimator

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1997 .

Autocorrelation Effects on Least-Squares Intervention Analysis of Short Time Series

Joseph W. McKean, Bradley E. Huitema, J. McKean, 1999 .

Autocorrelation estimation and inference with small samples.

Joseph W. McKean, Bradley E. Huitema, J. McKean, 1991 .

Robust and High-Breakdown Fits of Polynomial Models

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1994 .

Rank-Based Analysis of Unbalanced Repeated Measures Data

Joseph W. McKean, John Kloke, M. Mushfiqur Rashid, 2012 .

Finite Sample Performance of tests for Symmetry of the Errors in a Linear Model

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 2002 .

Efficient and adaptive rank-based fits for linear models with skew-normal errors

Joseph W. McKean, John Kloke, 2014 .

Robust procedures for drug combination problems with quantal responses

Thomas P. Hettmansperger, Joseph W. McKean, Thomas J. Vidmar, 1992 .

R Estimates and Associated Inferences for Mixed Models With Covariates in a Multicenter Clinical Trial

Joseph W. McKean, John Kloke, J. McKean, 2012 .

Rank-Based Analysis of Linear Models Using R

Joseph W. McKean, Jeff Terpstra, J. McKean, 2005 .

Nonparametric Statistical Methods Using R

Joseph W. McKean, John Kloke, J. McKean, 2014 .

A robust analysis of the general linear model based on one step R-estimates

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1978 .

Rank-Based Analysis of the Heteroscedastic Linear Model

Joseph W. McKean, J. McKean, S. Dixon, 1996 .

Tests of hypotheses based on ranks in the general linear model

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1976 .

Robust Analysis of Linear Models

Joseph W. McKean, J. McKean, 2004 .

A comparison of procedures based on inverse regression

Simon J. Sheather, Joseph W. McKean, 1997 .

Regression Diagnostics for Rank-Based Methods

Simon J. Sheather, Thomas P. Hettmansperger, Joseph W. McKean, 1990 .

A comparison of testing and confidence interval methods for the median

Simon J. Sheather, Joseph W. McKean, S. Sheather, 1987 .

A Robust Alternative Based on Ranks to Least Squares in Analyzing Linear Models

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1977 .

Highly efficient weighted for autoregression wilcoxon estimes for autoregression

Joseph W. McKean, Joshua D. Naranjo, Jeffrey T. Terpstra, 2000 .

Tests for the Jackknife Autocorrelation Estimator rQ2

Joseph W. McKean, Bradley E. Huitema, 1996 .

ANOVA and ANCOVA

Joseph W. McKean, John Kloke, J. McKean, 2014, SAGE Research Methods Foundations.

Coefficients of determination for least absolute deviation analysis

Joseph W. McKean, J. McKean, G. L. Sievers, 1987 .

A Geometric Interpretation of Inferences Based on Ranks in the Linear Model

Thomas P. Hettmansperger, Joseph W. McKean, T. Hettmansperger, 1983 .

Diagnostics to detect differences in Robust fits of linear models

Simon J. Sheather, Joseph W. McKean, Joshua D. Naranjo, 1996 .

Computational rank‐based statistics

Joseph W. McKean, John Kloke, J. McKean, 2009 .

GR-estimates for an autoregressive time series

Joseph W. McKean, Joshua D. Naranjo, J. McKean, 2001 .

High-Breakdown Rank Regression

Simon J. Sheather, Joseph W. McKean, Joshua D. Naranjo, 1999 .

Rank-based methods for multivariate linear models

Joseph W. McKean, J. McKean, James B. Davis, 1993 .

Rank-Based Estimation and Associated Inferences for Linear Models With Cluster Correlated Errors

Joseph W. McKean, John Kloke, J. McKean, 2009 .

Identifying Autocorrelation Generated by Various Error Processes in Interrupted Time-Series Regression Designs

Joseph W. McKean, Bradley E. Huitema, J. McKean, 2007 .

A comparison of methods for studentizing the sample median

Joseph W. McKean, Ronald Schrader, J. McKean, 1984 .

Theory & Methods: Weighted Wilcoxon Estimates for Autoregression

Joseph W. McKean, Joshua D. Naranjo, J. McKean, 2001 .

Robust General Linear Models and Graphics via a User Interface (Web RGLM)

Joseph W. McKean, Asheber Abebe, Kimberly Crimin, 2008 .

A Robust Two-Stage Multiple Comparison Procedure with Application to a Random Drug Screen

Joseph W. McKean, Thomas J. Vidmar, Gerald L. Sievers, 1989 .