JSM 2005 - Toronto

Abstract #303367

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 453
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #303367
Title: Variance Estimation for Systematic Sampling
Author(s): Xiaoxi Li*+ and Jean D. Opsomer
Companies: Iowa State University and Iowa State University
Address: Dept of Statistics, Ames, IA, 50011, United States
Keywords: anticipated variance ; nonparametric model
Abstract:

Systematic sampling is a frequently used sampling method in natural resource surveys because of its ease of implementation and design efficiency. An important drawback of systematic sampling, however, is that no direct estimator of the design variance is available. We propose an estimator of the model-based expectation of the design variance under a nonparametric model for the population. The nonparametric model is sufficiently flexible that it can be expected to hold at least approximately for many practical situations. The statistical properties of the proposed estimator are explored.

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