Login | Register

On Imputation Techniques in Survey Sampling

Title:

On Imputation Techniques in Survey Sampling

Zhu, Hui Rong (2014) On Imputation Techniques in Survey Sampling. Masters thesis, Concordia University.

[thumbnail of Zhu_MSc_F2014.pdf]
Preview
Text (application/pdf)
Zhu_MSc_F2014.pdf - Accepted Version
Available under License Spectrum Terms of Access.
1MB

Abstract

Some nonparametric imputation techniques, including two categories: single imputation and multiple imputation, are in- troduced and studied. Some properties of the estimators such as the bias, the variance, and the mean squared error are pre- sented. Finally, some imputation techniques are applied to a real case. These methods are compared in order to assess their advantages, disadvantages, and applicabilities.

Divisions:Concordia University > Faculty of Arts and Science > Mathematics and Statistics
Item Type:Thesis (Masters)
Authors:Zhu, Hui Rong
Institution:Concordia University
Degree Name:M. Sc.
Program:Mathematics
Date:August 2014
Thesis Supervisor(s):Chaubey, Yogendra P.
ID Code:979118
Deposited By: HUI RONG ZHU
Deposited On:11 Nov 2014 17:28
Last Modified:18 Jan 2018 17:48
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top