Joe McKean
NEW BOOK
Nonparametric Statistical Methods Using R, (2014), John Kloke and Joe McKean, ChapmanHall: Boca Raton, FL.
This is an applied book in nonparamterics. Rfit can be downloaded at CRAN and the other The R software used in the book can be downloaded at
GitHub .
Introduction to Mathematical Statistics, Hogg, McKean and Craig, 8th Ed, Home page
Most of the data sets in the book: Robust Nonparametric Statistical Methods, 2nd ed
by Tom Hettmansperger and Joe McKean, New York:Chapman&Hall, 2010 can be found here:
Data Sets in HM
For Rcode for HM, I recommend the R package Rfit developed by John Kloke and myself.
It can be downloaded at CRAN.
Professor of Statistics, Department of Statistics
Ph.D. Statistics, Penn State University
Some Recent Publications
 Nonparametric Statistical Methods Using R, (2014), John Kloke and Joe McKean, Boca Raton, FL: ChapmanHall.
 Introduction to Mathematical Statistics, 7th Ed.,with Robert Hogg and Allen Craig, (2013), Boston: Pearson.
 Robust Nonparametric Statistical Methods,with Thomas P. Hettmansperger, (2011), Boca Raton, FL: ChapmanHall.

McKean, J. W. (2004),
Robust Analyses of Linear Models, Statistical Science 19, 562570.

Terpstra, J. and
McKean, J. W. (2005),
RankBased Analyses of Linear Models using R, (2005), Journal of Statistical Software,
14, Issue 7, http://www.jstatsoft.org/

Hettmansperger, T. P.,
McKean, J. W. and
Sheather, S. J. (2004),
RankBased Inference, (2004), Encyclopedia of Statistics in Behavioral Science, Volume
4, pages 16881691. Published by Wiley Chichester, UK. 2005. ISBN 0 470
860 804, Ed. Brian Everitt, David Howell, and Cliff Lunneborg.

Huitema, B. E. and
McKean, J. W. (2007),
Identifying autocorrelation generated by various error processes in interrupted timeseries
regression designs: a comparison of AR1 and Portmanteau tests,
Educational and Psychological Measurement, 67, 447459.

Crimin, K.,
Abebe, A. and
McKean, J. W. (2007),
Robust General Linear Models and Graphics via a User Interface, Journal of
Modern Applied Statistics, To appear.

Abebe, A. and
McKean, J. W. (2007),
Highly Efficient Nonlinear Regression based on the Wilcoxon norm, (2007),
 Festschrift in Honor of Mir Masoom Ali on the Occasion of his Retirement,
D.\ Umbach ed, 340357.

Huitema, B. E.,
McKean, J. W. and Laraway, S. (2007),
TimeSeries Intervention, Journal of Modern Applied Statistics, 6, 2, 367379.

Huitema, B. E. and
McKean, J. W. (2007),
An improved portmanteau test for autocorrelated errors in interrupted timeseries regression,
Behavior Research Methods, 39, 343349.

Crimin, K.,
McKean, J. W. and
Sheather, S. J. (2007),
Discriminant Procedures Based on Robust Discriminant Coordinates, Journal of Nonparametric Statistics, 19, 199213.

Sheather, S. J.,
McKean, J. W. and
Crimin, K. (2008),
Sliced Mean Variance Covariance Inverse Regression, Journal of ComputationalStatistics and Data Analysis, 52, 19081927.

McKean, J. W.,
Terpstra, J. and Kloke, J. D. (2009),
Computational rankbased statistics, Wiley Interdisciplinary Reviews:
Computational Statistics, Volume 1 Issue 2, Pages 132  140

McKean, J. W. and Sheather, S.J. (2009),
Diagnostic Procedures, Wiley Interdisciplinary Reviews:
Computational Statistics, Volume 1 Issue 2, Pages 221  233.
 Kloke, J., McKean, J. W. and Rashid, (2009), RankBased Estimation and
Associated Inferences for Linear Models with Cluster Correlated Errors,
Journal of the American Statistical Association}, 104, 384390.
 Kloke, J.D.\ and McKean, J.W.\ (2011), Rankbased estimation for Arnoldtransformed data, 183203,
Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P.\ Hettmansperger,
Hunter, D., Richards, D.\ and Rosenberger, J.\ ed., New Jersey: World Scientific.
 M. Mushfiqur Rashid , Joseph W. McKean \& John D. Kloke (2012) R Estimates and Associated
Inferences for Mixed Models With Covariates in a Multicenter Clinical Trial, Statistics in Biopharmaceutical Research, 4:1,
3749, DOI: 10.1080/19466315.2011.636293
 Abebe, Asheber, McKean, J. W. and Bindele, H. (2012),
On the consistency of a class of nonlinear regression estimators,
Pakistan Journal of Statistics and Operations Research, 8, 543555.
 Rashid, M., McKean, J.\ W.\ and Kloke, J., D.\ (2012), Rankbased analysis of unbalanced repeated measures data,
Pakistan Journal of Statistics and Operations Research, 8, 719735.
 M. Mushfiqur Rashid , Joseph W. McKean \& John D. Kloke (2013) Review of RankBased Procedures for
Multicenter Clinical Trials, Journal of Biopharmaceutical Statistics, 23:6, 12071227, DOI:
10.1080/10543406.2013.834919
 Nandakumar, S.\ and McKean, J.\ W.\ (2011), Application of Componentwise Rank Method to Bivariate Bioequivalence Case, Pharmaceutical Users Software Exchange (PhUSE), 4, 1923.
 Nandakumar, S.\ and McKean, J.\ W.\ (2011),
Outlier resistance of multivariate bioequivalence procedures,
MWSUG 2011: SAS Conference Proceedings, SA21,
 Crimin, K., McKean, J.\ W.\ and Vidmar, T.\ J.\ (2012),
RankBased Estimate of 4Parameter Logistic Model, Pharmaceutical Statistics, 214221.
 Magura, S., McKean, J.W., Kosten, S.\ and Tonigan, J.S.\ (2013), A novel application
to propensity score matching to estimate Alcoholics Anonymous' effect on drinking outcomes, Drug and
Alcohol Dependence, 129, 5459.
 Awosoga, O., McKean, J.\ W.\ and Huitema, B.\ (2014),
Simple Robust Tests for Autocorrelated Errors in Time Series Design Intervention Models, Communications in Statistics A, 43, 26292641.
 McKean, J.W.\ (2012), Discussant on: Thas, O., Neve, J.D., Clement. L. and Ottoy, J.P. (2012), Probabilistic index models, Journal of the Royal Statistical Society: Series B, 74, 623671.
 Kloke, J.D.\ and McKean, J.W.\ (2012), Rfit: Rankbased estimation for linear models, The R Journal, 4/2, 5764.
 Salman, M.\ and McKean, J.W.\ (2013), On Multivariate Rank and Generalized Rank Regression, Journal of Statistics Applications and Probability, 2, 118.

Abebe, A. and
McKean, J. W. (2013),
Weighted Wilcoxon Estimators in Nonlinear Regression, Australian \& New Zealand Journal of
Statistics}, 55, 401420.
 Lindsey, C.D., Sheather, S.J., and McKean, J.W. (2014), Using sliced mean variancecovariance inverse regression
for classification and dimension reduction, Computational Statistics and Data Analysis, 29, 769798.
 McKean, J. W. and Kloke, J.D. (2014), Efficient and adaptive rankbased fits
for linear models with skewednormal errors, Journal of Statistical Distributions and Applications, In press.
 Watcharotone, K., McKean, J.W.\ and Huitema, B.E. (2014), A Monte Carlo study of traditional and rankbased pickedpoint analyses, Submitted.
Address
Department of Statistics,
Western Michigan University,
Kalamazoo, MI 49008
Phone
(269) 3874541
Fax
(269) 3871419
Email
joseph.mckean@wmich.edu