1 citations · 1 across the 4 of their papers we have counts for
4 papers
Pseudo Empirical Likelihood Inference for Non-Probability Survey Samples
Yilin Chen, Pengfei Li, J. N. K. Rao +1
In this paper, the authors first provide an overview of two major developments on complex survey data analysis: the empirical likelihood methods and statistical inference with non-…
Estimation of Poverty Measures for Small Areas Under a Two-Fold Nested Error Linear Regression Model: Comparison of Two Methods
Maryam Sohrabi, J. N. K. Rao
Demand for reliable statistics at a local area (small area) level has greatly increased in recent years. Traditional area-specific estimators based on probability samples are not a…
Empirical Likelihood Inference With Public-Use Survey Data
Puying Zhao, J. N. K. Rao, Changbao Wu
Public-use survey data are an important source of information for researchers in social science and health studies to build statistical models and make inferences on the target fin…
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach
Jae-kwang Kim, J. N. K. Rao, Zhonglei Wang
Standard statistical methods that do not take proper account of the complexity of survey design can lead to erroneous inferences when applied to survey data due to unequal selectio…