Forecasting Inflation Rate of Zambia Using Holt’s Exponential Smoothing

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Open Journal of Statistics

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"Forecasting Inflation Rate of Zambia Using Holt’s Exponential Smoothing"
written by Stanley Jere, Mubita Siyanga,
published by Open Journal of Statistics, Vol.6 No.2, 2016

has been cited by the following article(s):

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[2]	Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2023 DOI:10.1109/LA-CCI58595.2023.10409426

[3]	Evaluation of Machine Learning Models to Forecast Inflation: Bangladesh as a Case Study 2023 International Symposium on Networks, Computers and Communications (ISNCC), 2023 DOI:10.1109/ISNCC58260.2023.10323827

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[5]	The Study of Irregular Demand Forecasting for Medicines: The Case Study of ABC Medical Center Hospital 2021 10th International Conference on Industrial Technology and Management (ICITM), 2021 DOI:10.1109/ICITM52822.2021.00028

[6]	Regional Rural Economic Forecasting Based on Single Exponential Smoothing Model with Outlier points 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), 2021 DOI:10.1109/TOCS53301.2021.9688826

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[8]	E-waste in Australia: Generation estimation and untapped material recovery and revenue potential Journal of Cleaner Production, 2019 DOI:10.1016/j.jclepro.2019.117787

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[12]	Online Denoising Based on the Second-Order Adaptive Statistics Model Sensors, 2017 DOI:10.3390/s17071668

[13]	Online Denoising Based on the Second-Order Adaptive Statistics Model Sensors, 2017 DOI:10.3390/s17071668

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