Survey Methodology
Comparison of the conditional bias and Kokic and Bell methods for Poisson and stratified sampling

Warning View the most recent version.

Archived Content

Information identified as archived is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please "contact us" to request a format other than those available.

by Thomas Deroyon and Cyril Favre-MartinozNote 1

  • Release date: December 20, 2018

Abstract

In business surveys, it is common to collect economic variables with highly skewed distribution. In this context, winsorization is frequently used to address the problem of influential values. In stratified simple random sampling, there are two methods for selecting the thresholds involved in winsorization. This article comprises two parts. The first reviews the notations and the concept of a winsorization estimator. The second part details the two methods and extends them to the case of Poisson sampling, and then compares them on simulated data sets and on the labour cost and structure of earnings survey carried out by INSEE.

Key Words: Robust estimation; Winsorized estimator; Influential values; Conditional bias.

Table of contents

How to cite

Deroyon, T., and Favre-Martinoz, C. (2018). Comparison of the conditional bias and Kokic and Bell methods for Poisson and stratified sampling. Survey Methodology, Statistics Canada, Catalogue No. 12-001-X, Vol. 44, No. 2. Paper available at https://www150.statcan.gc.ca/n154961-eng.htm.

Note


Report a problem on this page

Is something not working? Is there information outdated? Can't find what you're looking for?

Please contact us and let us know how we can help you.

Privacy notice

Date modified: