Some approaches in dealing with nonresponse in survey operations with applications to the 1991 Marinduque census of agriculture and fisheries data

Date of Publication

1996

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics

Abstract/Summary

This study presents some of the more popular approaches in dealing with the problem of nonresponse in survey operations. The problem of nonresponse is endemic in every survey. Ignoring these effects contribute to the added inaccuracy of the results and often lead to the misinterpretation of the data.The problem os Item Nonresponse can be compensated by the methods of Imputation such as Mean Imputation and Hot Deck Imputation which are the more popular ones because of their computational and statistical simplicity. It has been shown that compensating for nonresponse improves results as opposed to total discarding of observations with missing values. A comparative assessment of the Mean Imputation and Hot Deck Imputation methods was made using the 1991 Marinduque Census of Agriculture and Fisheries data. It was shown that varying the rates of missing observations and sample sizes pose an effect on the variances. Results proved that the Hot Deck Imputation method was more efficient than the Mean Imputation method.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU07461

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

152 leaves

Keywords

Agriculture--Statistics; Fisheries--Statistics; Computer programs; Programming (mathematics); Census; Analysis of variance; Statistics--Data processing

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