On variance estimation for a Gini coefficient estimator obtained from complex survey data

Variance Estimation for the General Regression Estimator

A variety of estimators of the variance of the general regression (GREG) estimator of a mean have been proposed in the sampling literature, mainly with the goal of estimating the design-based variance. Estimators can be easily constructed that, under certain conditions, are approximately unbiased for both the design-variance and the model-variance. Several dual-purpose estimators are studied he...

Bayesian Estimation of the Inbreeding Coefficient for Single Nucleotide Polymorphism Using Complex Survey Data

Title of Document: BAYESIAN ESTIMATION OF THE INBREEDING COEFFICIENT FOR SINGLE NUCLEOTIDE POLYMORPHISM USING COMPLEX SURVEY DATA Zhenyi Xue, Doctor of Philosophy, 2015 Directed By: Professor Partha Lahiri Associate Professor Yan Li Joint Program in Survey Methodology In genome-wide association studies (GWAS), single nucleotide polymorphism (SNP) is often used as a genetic marker to study gene-...

A unified approach to linearization variance estimation from survey data after imputation for item nonresponse

Variance estimation after imputation is an important practical problem in survey sampling. When deterministic imputation or stochastic imputation is used, we show that the variance of the imputed estimator can be consistently estimated by a unifying linearize and reverse approach. We provide some applications of the approach to regression imputation, fractional categorical imputation, multiple ...

A Novel ICA-based Estimator for Software Cost Estimation

One of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for SCE. COCOMO81 is one of the most popular...

Variance Estimation and Construction of Confidence Intervals for GEE Estimator