Jun Shao

发表

Forces, Moment and Wave Pattern for Naval Combatant in Regular Head Waves

Frederick Stern, L. Gui, J. Longo, 2001 .

Two dimension interferometric Rayleigh scattering velocimetry

Sheng Wang, Jun Shao, Jin-hai Si, 2016, Other Conferences.

Statistical Approach for Estimating Intervals of Certification or Biases of Facilities or Measurement Systems Including Uncertainties

Frederick Stern, Jun Shao, J. Longo, 2005 .

Sign series entropy analysis of short-term heart rate variability

Xinbao Ning, Qianli D. Y. Ma, Chunhua Bian, 2009 .

Sensor Network Localization in Constrained 3-D Spaces

Jindong Tan, Ying Xu, Jianlin Liang, 2006, 2006 International Conference on Mechatronics and Automation.

Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization

Hyunseung Kang, Jun Shao, Ting Ye, 2021, The Annals of Statistics.

BOOTSTRAPPING SAMPLE QUANTILES BASED ON COMPLEX SURVEY DATA UNDER HOT DECK IMPUTATION

Yinzhong Chen, Jun Shao, J. Shao, 1998 .

Bootstrap variance and bias estimation in linear models

Jun Shao, 1988 .

Generalized linear model selection using R2

Jun Shao, J. Shao, B. Hu, 2008 .

Form tolerance estimation using jackknife methods

Kwok-Leung Tsui, Jun Shao, 1996 .

A Repeated HalfSample Bootstrap and Balanced Repeated Replications for Randomly Imputed Data

Hiroshi Saigo, Jun Shao, 2001 .

On Balanced Half-Sample Variance Estimation in Stratified Random Sampling

J. N. K. Rao, Jun Shao, 1996 .

Semiparametric inverse propensity weighting for nonignorable missing data

Lei Wang, Jun Shao, 2016 .

A discussion of ‘prior-based Bayesian information criterion (PBIC)’

Jun Shao, Jun Shao, Sheng Zhang, 2019 .

A transformation approach in linear mixed-effects models with informative missing responses

Jun Shao, J. Shao, J. Zhang, 2015 .

Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data

Jun Shao, Jiwei Zhao, J. Shao, 2015 .

INFERENCE WITH SURVEY DATA IMPUTED BY HOT DECK WHEN IMPUTED VALUES ARE NONIDENTIFIABLE

Yinzhong Chen, Jun Shao, J. Shao, 1999 .

Differentiability of Statistical Functionals and Consistency of the Jackknife

Jun Shao, J. Shao, 1993 .

Jackknifing Weighted Least Squares Estimators

Jun Shao, 1989 .

EMPIRICAL LIKELIHOOD ESTIMATION FOR SAMPLES WITH NONIGNORABLE NONRESPONSE

Fang Fang, Jun Shao, Quan Hong, 2009 .

Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses

Biao Zhang, Jun Shao, Jing Qin, 2008 .

Theory for the Jackknife

Jun Shao, J. Shao, D. Tu, 1995 .

Bootstrap minimum cost estimation of the average chemical concentration in contaminated soils

Jun Shao, Ling Chen, 1999 .

Properties of R2 statistics for logistic regression

Mari Palta, Jun Shao, J. Shao, 2006, Statistics in medicine.

Model selection with nonignorable nonresponse

Fang Fang, Jun Shao, J. Shao, 2016 .

Consistency of jackknife estimators of the variances of simple quantiles

Jun Shao, 1988 .

Asymptotic Properties of the Balanced Repeated Replication Method for Sample Quantiles

Jun Shao, J. Shao, C. F. Wu, 1992 .

Group sequential t-test for clinical trials with small sample sizes across stages.

Jun Shao, Huaibao Feng, 2007, Contemporary clinical trials.

The Efficiency and Consistency of Approximations to the Jackknife Variance Estimators

Jun Shao, J. Shao, 1989 .

Estimation in high-dimensional linear models with deterministic design matrices

Xinwei Deng, Jun Shao, J. Shao, 2012, 1206.0847.

Sparse moving maxima models for tail dependence in multivariate financial time series

Jun Shao, J. Shao, Rui Tang, 2013 .

Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling

Jun Shao, Jing Qin, J. Shao, 2002 .

Consistency of the bootstrap procedure in individual bioequivalence

Iris Pigeot, Jun Shao, Jprgen Kubler, 2000 .

$L$-Statistics in Complex Survey Problems

Jun Shao, J. Shao, 1994 .

TWO-WAY CONTINGENCY TABLES UNDER CONDITIONAL HOT DECK IMPUTATION

Hansheng Wang, Jun Shao, 2003 .

The gic for model selection : a hypothesis testing approach

Jun Shao, J. Shao, J. S. Rao, 2000 .

Last observation carry‐forward and last observation analysis

Jun Shao, J. Shao, Bob Zhong, 2003, Statistics in medicine.

A theory for testing hypotheses under covariate-adaptive randomization

Jun Shao, J. Shao, Xinxin Yu, 2010 .

Validity of Tests under Covariate‐Adaptive Biased Coin Randomization and Generalized Linear Models

Jun Shao, J. Shao, Xinxin Yu, 2013, Biometrics.

Mathematical Statistics: Exercises and Solutions

Jun Shao, J. Shao, 2005 .

Heteroscedasticity-Robustness of Jackknife Variance Estimators in Linear Models

Jun Shao, J. Shao, C. F. Wu, 1987 .

Sample Correlation Coefficients Based on Survey Data Under Regression Imputation

Hansheng Wang, Jun Shao, J. Shao, 2002 .

Statistical Methods for Handling Incomplete Data

Jae Kwang Kim, Jun Shao, J. Shao, 2013 .

Estimation in longitudinal studies with nonignorable dropout

Jun Shao, Jiwei Zhao, J. Shao, 2013 .

Estimation with unbalanced panel data having covariate measurement error

Ruifeng Xu, Jun Shao, Zhiguo Xiao, 2011 .

Nonignorable item nonresponse in panel data

Jun Shao, Jun Shao, Sijing Li, 2020, Statistical Theory and Related Fields.

On marginal sliced inverse regression for ultrahigh dimensional model-free feature selection

Zhou Yu, Yuexiao Dong, Jun Shao, 2016 .

Handling survey nonresponse in cluster sampling

Jun Shao, Jun Shao, J. Shao, 2008 .

An Instrumental Variable Approach for Identification and Estimation with Nonignorable Nonresponse

Jae Kwang Kim, Jun Shao, J. Shao, 2014 .

Asymptotic distribution of the weighted least squares estimator

Jun Shao, J. Shao, 1989 .

Modified balanced repeated replication for complex survey data

J. N. K. Rao, Jun Shao, J. Shao, 1999 .

Convergence rates of the generalized information criterion

Jun Shao, 1998 .

Invited Discussion Paper Resampling Methods in Sample Surveys

Jun Shao, J. Shao, 1996 .

Jackknife Variance Estimation for Nearest-Neighbor Imputation

Jun Shao, Jiahua Chen, J. Shao, 2001 .

SPARSE QUADRATIC DISCRIMINANT ANALYSIS FOR HIGH DIMENSIONAL DATA

Jun Shao, Quefeng Li, 2015 .