Arbeitspapier
An unbiased estimator of the variance of simple random sampling using mixed random-systematic sampling
Systematic sampling is a commonly used technique due to its simplicity and ease of implementation. The drawback of this simplicity is that it is not possible to estimate the design variance without bias. There are several ways to circumvent this problem. One method is to suppose that the variable of interest has a random order in the population, so the sample variance of simple random sampling without replacement is used. By means of a mixed random - systematic sample, an unbiased estimator of the population variance for simple random sample is proposed without model assumptions. Some examples are given.
- Language
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Englisch
- Bibliographic citation
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Series: Working Papers ; No. 2009-13
- Classification
-
Wirtschaft
Data Collection and Data Estimation Methodology; Computer Programs: General
Survey Methods; Sampling Methods
- Subject
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Variance estimator
Systematic sampling
Simple random sampling
Random order
- Event
-
Geistige Schöpfung
- (who)
-
Padilla, Alberto
- Event
-
Veröffentlichung
- (who)
-
Banco de México
- (where)
-
Ciudad de México
- (when)
-
2009
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Padilla, Alberto
- Banco de México
Time of origin
- 2009
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