Julie Zhou

发表

Robust Estimationに

Julie Zhou, 2009 .

Minimax robust designs for field experiments

Julie Zhou, Beiyan Ou, 2009 .

Robust designs for experiments with blocks

Julie Zhou, R. Edwards, Rena K. Mann, 2016, 1605.08473.

Robust Designs Based on the Infinitesimal Approach

Julie Zhou, D. Wiens, 1997 .

Minimax regression designs for approximately linear models with autocorrelated errors

Douglas P. Wiens, Julie Zhou, Julie Zhou, 1996 .

Auto-multicategorical regression model for the distribution of vegetation

Julie Zhou, Hong-Tu Zhu, F. He, 2008 .

Robust estimators and designs for field experiments

Douglas P. Wiens, Julie Zhou, Julie Zhou, 2008 .

On Exact K-optimal Designs Minimizing the Condition Number

Julie Zhou, Michael F. Rempel, 2014 .

EXISTENCE AND CONSTRUCTION OF TWO-LEVEL ORTHOGONAL ARRAYS FOR ESTIMATING MAIN EFFECTS AND SOME SPECIFIED TWO-FACTOR INTERACTIONS

Boxin Tang, Julie Zhou, Julie Zhou, 2009 .

Using SeDuMi to find various optimal designs for regression models

Julie Zhou, W. Wong, Yue Yin, 2017, Statistical Papers.

D-optimal designs based on the second-order least squares estimator

Lucy L. Gao, Lucy L Gao, Julie Zhou, 2017 .

Minimax design criterion for fractional factorial designs

Julie Zhou, Yue Yin, 2015 .

D-optimal minimax design criterion for two-level fractional factorial designs

Julie Zhou, Michael J. Wilmut, Julie Zhou, 2011 .

D‐optimal minimax fractional factorial designs

Dennis K. J. Lin, Julie Zhou, 2013 .

R-optimal designs for multi-response regression models with multi-factors

Lucy L. Gao, Lucy L Gao, Julie Zhou, 2019, Communications in Statistics - Theory and Methods.

Properties of optimal regression designs under the second-order least squares estimator

Julie Zhou, Chi-Kuang Yeh, 2019, Statistical Papers.

Optimal designs for regression models using the second-order least squares estimator

Julie Zhou, Yue Yin, 2018 .

Bounded‐influence rank estimation in the linear model

Douglas P. Wiens, Julie Zhou, Julie Zhou, 1994 .

Bounded-influence R-estimators in the linear model

Julie Zhou, 1992 .

Constructing K-optimal designs for regression models

Julie Zhou, Zongzhi Yue, Xiaoqing Zhang, 2022, Statistical Papers.

Using CVX to Construct Optimal Designs for Biomedical Studies with Multiple Objectives

Julie Zhou, W. Wong, 2022, J. Comput. Graph. Stat..

Minimax robust designs for regression models with heteroscedastic errors

Julie Zhou, Kai Yzenbrandt, 2021, Metrika.

Properties of optimal regression designs under the second-order least squares estimator

Julie Zhou, Chi-Kuang Yeh, 2019, Statistical Papers.

D-optimal designs based on the second-order least squares estimator

Lucy L. Gao, Lucy L Gao, Julie Zhou, 2015, Statistical Papers.

D-optimal two-level orthogonal arrays for estimating main effects and some specified two-factor interactions

Julie Zhou, Boxin Tang, 2012, Metrika.

Robust second-order least-squares estimator for regression models

Julie Zhou, Xin Chen, M. Tsao, 2010, Statistical Papers.

Using SeDuMi to find various optimal designs for regression models

Julie Zhou, W. Wong, Yue Yin, 2017, Statistical Papers.

CVX‐based algorithms for constructing various optimal regression designs

Weng Kee Wong, Julie Zhou, Julie Zhou, 2019, Canadian Journal of Statistics.

Computing A-optimal and E-optimal designs for regression models via semidefinite programming

Wenjie Zhou, Julie Zhou, Jane J. Ye, 2017, Commun. Stat. Simul. Comput..

New optimal design criteria for regression models with asymmetric errors

Lucy L. Gao, Lucy L Gao, Julie Zhou, 2014 .

Minimizing the Condition Number to Construct Design Points for Polynomial Regression Models

Jane J. Ye, Julie Zhou, Julie Zhou, 2013, SIAM J. Optim..

Existence and symmetry of minimax regression designs

Jane J. Ye, Julie Zhou, Julie Zhou, 2007 .

for misspecified regression models

Jane J. Ye, Julie Zhou, Julie Zhou, 2003 .

INTEGER-VALUED, MINIMAX ROBUST DESIGNS FOR APPROXIMATELY LINEAR MODELS WITH CORRELATED ERRORS

Julie Zhou, 2001 .

D-optimal two-level orthogonal arrays for estimating main effects and some specified two-factor interactions

Boxin Tang, Julie Zhou, Julie Zhou, 2013 .

D-optimal minimax regression designs on discrete design space

Julie Zhou, Julie Zhou, 2008 .

Discrete minimax designs for regression models with autocorrelated MA errors

Julie Zhou, P. Shi, J. Ye, 2007 .

Discrete M-robust designs for regression models

Julie Zhou, Yu-Ling Tsai, 2005 .

A Robust Criterion for Experimental Designs for Serially Correlated Observations

Julie Zhou, Julie Zhou, 2001, Technometrics.

Optimal Designs for Multi-Response Nonlinear Regression Models With Several Factors via Semidefinite Programming

Yue Yin, Weng Kee Wong, Julie Zhou, 2018, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

TWO ROBUST DESIGN APPROACHES FOR LINEAR MODELS WITH CORRELATED ERRORS

Julie Zhou, 2001 .

Autologistic regression model for the distribution of vegetation

Julie Zhou, Fangliang He, Julie Zhou, 2003 .

Case-deletion measures for models with incomplete data

Bo-Cheng Wei, Julie Zhou, Julie Zhou, 2001 .

The optimal design of clinical trials with potential biomarker effects: A novel computational approach

Li Xing, Xuekui Zhang, Yitao Lu, 2020, Statistics in medicine.

Robust estimation and design procedures for the random effects model

Julie Zhou, Julie Zhou, Hong-Tu Zhu, 2003 .

On the robustness of empirical likelihood ratio confidence intervals for location

Julie Zhou, M. Tsao, Min Tsao, 2001 .

Confidence intervals based on robust regression

Julie Zhou, C. Field, 2003 .

Robust estimation of hedonic models of price and income for investment property

Christian Janssen, Julie Zhou, Julie Zhou, 2001 .

Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors

Julie Zhou, Hanan Abousaleh, 2021, Canadian Journal of Statistics.

Minimax D-optimal designs for multivariate regression models with multi-factors

Lucy L. Gao, Julie Zhou, Lucy L Gao, 2019, Journal of Statistical Planning and Inference.

Graph decomposition methods for variance balanced block designs with correlated errors

Julie Zhou, P. Dukes, Meixin Liu, 2022, Journal of Statistical Planning and Inference.

Intra- and inter-limb coherency during stance in non-dyskinetic and dyskinetic patients with Parkinson's disease

Julie Zhou, M. Jog, C. Duval, 2010, Clinical Neurology and Neurosurgery.

Comparing movement patterns associated with Huntington’s chorea and Parkinson’s dyskinesia

Julie Zhou, M. Jog, C. Duval, 2012, Experimental Brain Research.

Robust estimation of distance effects and sub‐optimality in mixed use buildings

Julie Zhou, C. Janssen, G. Dahlberg, 2011 .

Minimax robust designs for regression models with heteroscedastic errors

Julie Zhou, Kai Yzenbrandt, Julie Zhou, 2021, Metrika.

A nonparametric confidence interval for the trimmed mean

Min Tsao, Julie Zhou, Julie Zhou, 2002 .

Efficient bias‐Robust M‐Estimators of location in Kolmogorov normal neighbourhoods

Julie Zhou, Eden K. H. Wu, 1998 .

K-Optimal Design via Semidefinite Programming and Entropy Optimization

Jane J. Ye, Pierre Maréchal, Julie Zhou, 2015, Math. Oper. Res..