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Date of Award
2021
Document Type
Campus Access Master's Report
Degree Name
Master of Science in Statistics (MS)
Administrative Home Department
Department of Mathematical Sciences
Advisor 1
Xiao Zhang
Committee Member 1
Qiuying Sha
Committee Member 2
Kui Zhang
Abstract
Missing values are common issued faced by researchers in various fields. How we deal with missing values may have a significant influence on the analysis. In order to deal with issues caused by missing values, various imputation methods are developed. In this report, we propose a Bayesian method for imputing missing values of ordinal responses using a probit model. By simulation examples, we show our method works fairly well. And it is demonstrated through real data from NHANES.
Recommended Citation
Li, Weibing, "IMPUTATION OF ORDINAL RESPONSES USING UNIVARIATE BAYESIAN PROBIT MODEL", Campus Access Master's Report, Michigan Technological University, 2021.