NORMAL RATIO IN MULTIPLE IMPUTATION BASED ON BOOTSTRAPPED SAMPLE FOR RAINFALL DATA WITH MIS SINGNESS-Reference-Cited by-同舟云学术

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NORMAL RATIO IN MULTIPLE IMPUTATION BASED ON BOOTSTRAPPED SAMPLE FOR RAINFALL DATA WITH MIS SINGNESS

Published:2017-08-01 Issue:36 Volume:13 Page:
ISSN:2186-2990
Container-title:International Journal of GEOMATE
language:
Short-container-title:GEOMATE

Author:

Amin Burhanuddin Siti Nur Zahrah

Publisher

International Journal of Geomate

Subject

Soil Science,Geotechnical Engineering and Engineering Geology,Building and Construction,Environmental Engineering

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of imputation techniques for infilling missing daily rainfall records on river basins in Ghana;Hydrological Sciences Journal;2022-02-21

2. Estimating extremely large amounts of missing precipitation data;Journal of Hydroinformatics;2020-02-28

3. Imputation Analysis for Time Series Air Quality (PM10) Data Set: A Comparison of Several Methods;Journal of Physics: Conference Series;2019-11-01

4. Collection of historical weather data;Proceedings of the 4th International Conference on Smart City Applications;2019-10-02

5. A HYBRID SELF ORGANIZING MAP IMPUTATION (SOMI) WITH NAÏVE BAYES FOR IMPUTATION MISSING DATA CLASSIFICATION;International Journal of GEOMATE;2019-10-01

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