David J. Olive

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All published works

Action	Title	Year	Authors
+	Calibrating and Visualizing Some Bootstrap Confidence Regions	2024	Welagedara Arachchilage Dhanushka M. Welagedara David J. Olive
+	A Course in the Large Sample Theory of Statistical InferenceA Course in the Large Sample Theory of Statistical Inference, W. J. Hall and D. Oakes, Boca Raton, FL: Chapman and Hall, CRC Press, 2024, x + 310 pp., $115.00, ISBN 978-0429160080.	2024	David J. Olive
+	One component partial least squares, high dimensional regression, data splitting, and the multitude of models	2024	David J. Olive Lingling Zhang
+ PDF Chat	Predicting Random Walks and a Data-Splitting Prediction Region	2024	Mulubrhan G. Haile Lingling Zhang David J. Olive
+	Bootstrapping ARMA time series models after model selection	2023	Mulubrhan G. Haile David J. Olive
+	Wald type tests with the wrong dispersion matrix	2022	Kosman W. G. D. H. Rajapaksha David J. Olive
+	Bootstrapping some GLM and survival regression variable selection estimators	2021	Rasanji C. Rathnayake David J. Olive
+	Prediction intervals for GLMs, GAMs, and some survival regression models	2021	David J. Olive Rasanji C. Rathnayake Mulubrhan G. Haile
+	Comparing six shrinkage estimators with large sample theory and asymptotically optimal prediction intervals	2020	Lasanthi C. R. Pelawa Watagoda David J. Olive
+ PDF Chat	Statistical Programing in SAS (2nd ed.)	2020	David J. Olive
+	Bootstrapping multiple linear regression after variable selection	2019	Lasanthi C. R. Pelawa Watagoda David J. Olive
+	Bootstrapping analogs of the one way MANOVA test	2018	Hasthika S. Rupasinghe Arachchige Don David J. Olive
+	More on Experimental Designs	2017	David J. Olive
+	One Way Anova	2017	David J. Olive
+	Building an MLR Model	2017	David J. Olive
+	GLMs and GAMs	2017	David J. Olive
+	WLS and Generalized Least Squares	2017	David J. Olive
+	Theory for Linear Models	2017	David J. Olive
+	Multivariate Linear Regression	2017	David J. Olive
+	Robust Multivariate Analysis	2017	David J. Olive
+	DD Plots and Prediction Regions	2017	David J. Olive
+	Elliptically Contoured Distributions	2017	David J. Olive
+	Multiple Linear Regression	2017	David J. Olive
+	Introduction	2017	David J. Olive
+	Multivariate Distributions	2017	David J. Olive
+	Multivariate Linear Regression	2017	David J. Olive
+	Stuff for Students	2017	David J. Olive
+	Multivariate Models	2017	David J. Olive
+	Applications of hyperellipsoidal prediction regions	2016	David J. Olive
+	Bootstrapping Hypothesis Tests and Confidence Regions	2016	David J. Olive
+ PDF Chat	Visualizing and Testing the Multivariate Linear Regression Model	2015	David J. Olive Lasanthi C. R. Pelawa Watagoda Hasthika S. Rupasinghe Arachchige Don
+	Multivariate Distributions and Transformations	2014	David J. Olive
+	Some Useful Distributions	2014	David J. Olive
+	Large Sample Theory	2014	David J. Olive
+	Point Estimation I	2014	David J. Olive
+	Probability and Expectations	2014	David J. Olive
+	Sufficient Statistics	2014	David J. Olive
+	Statistical Theory and Inference	2014	David J. Olive
+	Confidence Intervals	2014	David J. Olive
+	Bayesian Methods	2014	David J. Olive
+	Plots for Generalized Additive Models	2013	David J. Olive
+ PDF Chat	Asymptotically Optimal Regression Prediction Intervals and Prediction Regions for Multivariate Data	2013	David J. Olive
+ PDF Chat	Robust Covariance Matrix Estimation with Canonical Correlation Analysis	2012	Jianfeng Zhang David J. Olive Ye Ping
+	Why the Rousseeuw Yohai Paradigm is One of the Largest and Longest Running Scientific Hoaxes in History	2012	David J. Olive
+	OLS for 1D Regression Models	2010	Jing Chang David J. Olive
+	Beyond Beta: Other Continuous Families of Distributions With Bounded Support and Applications, by S. Kotz and J. R. van Dorp	2008	David J. Olive
+	Robust Statistical Methods With R	2007	David J. Olive
+	Robust Statistical Methods With R, by J. Jurečcková and J. Picek	2007	David J. Olive
+ PDF Chat	Behavior of elemental sets in regression	2006	David J. Olive Douglas M. Hawkins
+ PDF Chat	Prediction intervals for regression models	2006	David J. Olive
+	Introduction to Regression Analysis	2005	David J. Olive
+ PDF Chat	Variable Selection for 1D Regression Models	2005	David J. Olive Douglas M. Hawkins
+ PDF Chat	Two simple resistant regression estimators	2004	David J. Olive
+ PDF Chat	Visualizing 1D Regression	2004	David J. Olive
+	Does the MLE Maximize the Likelihood	2004	David J. Olive
+ PDF Chat	A resistant estimator of multivariate location and dispersion	2003	David J. Olive
+	A Resistant Estimator of Multivariate Location and Dispersion	2003	David J. Olive
+ PDF Chat	Robust regression with high coverage	2003	David J. Olive Douglas M. Hawkins
+ PDF Chat	Inconsistency of Resampling Algorithms for High-Breakdown Regression Estimators and a New Algorithm	2002	Douglas M. Hawkins David J. Olive
+ PDF Chat	Applications of Robust Distances for Regression	2002	David J. Olive
+ PDF Chat	A Note on Visualizing Response Transformations in Regression	2001	R. Dennis Cook David J. Olive
+ PDF Chat	High breakdown analogs of the trimmed mean	2001	David J. Olive
+ PDF Chat	Applications and algorithms for least trimmed sum of absolute deviations regression	1999	Douglas M. Hawkins David J. Olive
+	Comment	1999	David J. Olive Douglas M. Hawkins
+ PDF Chat	Improved feasible solution algorithms for high breakdown estimation	1999	Douglas M. Hawkins David J. Olive
+	Regression Analysis and Multivariate Analysis	1996	Antoni J. Dulęba David J. Olive

Common Coauthors

Coauthor	Papers Together
Douglas M. Hawkins	7
Mulubrhan G. Haile	3
Lasanthi C. R. Pelawa Watagoda	3
Hasthika S. Rupasinghe Arachchige Don	2
Rasanji C. Rathnayake	2
Lingling Zhang	2
Kosman W. G. D. H. Rajapaksha	1
Welagedara Arachchilage Dhanushka M. Welagedara	1
Jing Chang	1
Antoni J. Dulęba	1
R. Dennis Cook	1
Jianfeng Zhang	1
Ye Ping	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Applied Regression Including Computing and Graphics	1999	J. Brian Gray	19
+ PDF Chat	Variable Selection for 1D Regression Models	2005	David J. Olive Douglas M. Hawkins	15
+	Applications of hyperellipsoidal prediction regions	2016	David J. Olive	14
+ PDF Chat	Asymptotically Optimal Regression Prediction Intervals and Prediction Regions for Multivariate Data	2013	David J. Olive	14
+	Data-driven nonparametric prediction intervals	2013	Jesse Frey	13
+	Robust Multivariate Analysis	2017	David J. Olive	13
+	A Fast Algorithm for the Minimum Covariance Determinant Estimator	1999	Peter J. Rousseeuw Katrien Van Driessen	12
+ PDF Chat	Applications of Robust Distances for Regression	2002	David J. Olive	11
+	Robust Regression and Outlier Detection	1989	Gregory F. Piepel Peter J. Rousseeuw Annick M. Leroy	11
+	Robust Regression and Outlier Detection	1987	Peter J. Rousseeuw Annick M. Leroy	9
+ PDF Chat	Regression Analysis Under Link Violation	1989	Ker-Chau Li Naihua Duan	9
+	Least Median of Squares Regression	1984	Peter J. Rousseeuw	8
+	A Fast Algorithm for the Minimum Covariance Determinant Estimator	1999	Peter J. Rousseeuw Katrien Van Driessen	8
+	Inner envelopes: efficient estimation in multivariate linear regression	2012	Zhihua Su R. D. Cook	7
+	OLS for 1D Regression Models	2010	Jing Chang David J. Olive	7
+	Bootstrapping multiple linear regression after variable selection	2019	Lasanthi C. R. Pelawa Watagoda David J. Olive	7
+	Large Sample Methods in Statistics	1993	Pranab Kumar Sen Júlio M. Singer	7
+	Regression Graphics: Ideas for Studying Regressions Through Graphics	1999	R. W. Moore	7
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	6
+	Least Median of Squares Regression	1984	Peter J. Rousseeuw	6
+ PDF Chat	Inconsistency of Resampling Algorithms for High-Breakdown Regression Estimators and a New Algorithm	2002	Douglas M. Hawkins David J. Olive	6
+	The Jackknife, the Bootstrap and Other Resampling Plans	1982	Bradley Efron	6
+	Applied Multivariate Statistical Analysis.	1988	Andrea Johnson Dean W. Wichern	6
+ PDF Chat	The bootstrap in hypothesis testing	2001	Peter J. Bickel Jian-Jian Ren	6
+	Comparing six shrinkage estimators with large sample theory and asymptotically optimal prediction intervals	2020	Lasanthi C. R. Pelawa Watagoda David J. Olive	6
+	Bootstrapping some GLM and survival regression variable selection estimators	2021	Rasanji C. Rathnayake David J. Olive	6
+ PDF Chat	On a General Concept of "In Probability"	1959	John W. Pratt	6
+	Applied Multivariate Statistical Analysis	1989	Charles L. Dunn Richard A. Johnson Dean W. Wichern	6
+ PDF Chat	Estimation and Accuracy After Model Selection	2013	Bradley Efron	6
+	Statistical Theory and Inference	2014	David J. Olive	6
+ PDF Chat	Robust Covariance Matrix Estimation with Canonical Correlation Analysis	2012	Jianfeng Zhang David J. Olive Ye Ping	6
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	5
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	5
+	Computing and Graphing Highest Density Regions	1996	Rob Hyndman	5
+	Large-Sample Methods in Statistics: An Introduction with Applications.	1995	Jayaram Sethuraman Prannab K. Sen Júlio M. Singer	5
+	Linear Regression Functions with Neglected Variables	1946	Howard L. Jones	5
+	An Analysis of Transformations	1964	George E. P. Box David R. Cox	5
+	Graphs in Statistical Analysis: Is the Medium the Message?	1999	R. Dennis Cook Sanford Weisberg	5
+ PDF Chat	Asymptotics of reweighted estimators of multivariate location and scatter	1999	Hendrik P. Lopuhaä	5
+	Statistics of Prussia	1847	Bernard Hebeler	5
+	Graphics for Assessing the Adequacy of Regression Models	1997	R. Dennis Cook Sanford Weisberg	5
+ PDF Chat	Visualizing 1D Regression	2004	David J. Olive	5
+	Statistical Learning with Sparsity	2015	Trevor Hastie Robert Tibshirani Martin J. Wainwright	5
+ PDF Chat	Theoretical Comparison of Bootstrap Confidence Intervals	1988	Peter Hall	5
+ PDF Chat	A resistant estimator of multivariate location and dispersion	2003	David J. Olive	5
+ PDF Chat	Prediction intervals for regression models	2006	David J. Olive	5
+ PDF Chat	The Length of the Shorth	1988	Rudolf Grübel	5
+	Plots for Generalized Additive Models	2013	David J. Olive	5
+	Bootstrap estimation of covariance matrices via the percentile method	2005	José A. F. Machado Paulo Parente	5
+	Transforming a response variable for linearity	1994	R. Dennis Cook Sanford Weisberg	5