A Class of Population Mean Estimators in the Presence of Missing Data with Applications to Air Pollution in Chiang Mai, Thailand

Author:

Lawson Nuanpan

Publisher

Pleiades Publishing Ltd

Subject

General Mathematics

Reference9 articles.

1. Pollution Control Department, ‘‘Thailand’s Air Quality and Situation Reports. Chiang Mai,’’ Thailand. http://air4thai.pcd.go.th/webV2/history/. Accessed 2023.

2. K. Chodjuntug and N. Lawson, ‘‘Imputation for estimating the population mean in the presence of nonresponse, with application to fine particle density in Bangkok,’’ Math. Popul. Stud. 29, 204–225 (2022).

3. K. Chodjuntug and N. Lawson, ‘‘A chain regression exponential type imputation method for mean estimation in the presence of missing data,’’ Songklanakarin J. Sci. Technol. 44, 1109–1118 (2022).

4. N. Thongsak and N. Lawson, ‘‘Bias and mean square error reduction by changing the shape of the distribution of an auxiliary variable: Application to air pollution data in Nan, Thailand,’’ Math. Popul. Stud. (2022). https://doi.org/10.1080/08898480.2022.2145790

5. N. Thongsak and N. Lawson, ‘‘Classes of combined population mean estimators utilizing transformed variables under double sampling with application to air pollution in Chiang Rai, Thailand,’’ Songklanakarin J. Sci. Technol. 44, 1390–1398 (2022).

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