A Chain Ratio Exponential-Type Compromised Imputation for Mean Estimation: Case Study on Ozone Pollution in Saraburi, Thailand

Joint Authors

Chodjuntug, Kanisa
Lawson, Nuanpan

Source

Journal of Probability and Statistics

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-05

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Mathematics

Abstract EN

Due to its impact on health and quality of life, Thailand’s ozone pollution has become a major concern among public health investigators.

Saraburi Province is one of the areas with high air pollution levels in Thailand as it is an important industrialized area in the country.

Unfortunately, the August 2018 Pollution Control Department (PCD) report contained some missing values of the ozone concentrations in Saraburi Province.

Missing data can significantly affect the data analysis process.

We need to deal with missing data in a proper way before analysis using standard statistical techniques.

In the presence of missing data, we focus on estimating ozone mean using an improved compromised imputation method that utilizes chain ratio exponential technique.

Expressions for bias and mean square error (MSE) of an estimator obtained from the proposed imputation method are derived by Taylor series method.

Theoretical finding is studied to compare the performance of the proposed estimator with existing estimators on the basis of MSE’s estimators.

In this case study, the results in terms of the percent relative efficiencies indicate that the proposed estimator is the best under certain conditions, and it is then applied to the ozone mean estimation for Saraburi Province in August 2018.

American Psychological Association (APA)

Chodjuntug, Kanisa& Lawson, Nuanpan. 2020. A Chain Ratio Exponential-Type Compromised Imputation for Mean Estimation: Case Study on Ozone Pollution in Saraburi, Thailand. Journal of Probability and Statistics،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1190192

Modern Language Association (MLA)

Chodjuntug, Kanisa& Lawson, Nuanpan. A Chain Ratio Exponential-Type Compromised Imputation for Mean Estimation: Case Study on Ozone Pollution in Saraburi, Thailand. Journal of Probability and Statistics No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1190192

American Medical Association (AMA)

Chodjuntug, Kanisa& Lawson, Nuanpan. A Chain Ratio Exponential-Type Compromised Imputation for Mean Estimation: Case Study on Ozone Pollution in Saraburi, Thailand. Journal of Probability and Statistics. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1190192

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190192