A comparative study of Least Square Method, Exponential Smoothing Method and Moving Average to predict future sales of pharmacy / Siti Najihah Md Ajeman, Qashrina Balqis Jamil and Fatin Nurul Izzah Ahmad Hasbullah
The Least Square Method (LSM) is widely utilized in data fitting, with the best fit minimizing the residual squared sum and can be used to forecast pharmacies sales. LSM can be divided into two categories, linear LSM and nonlinear LSM. Apart from LSM, Exponential Smoothing (ESM) and Moving Average (...
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| Main Authors: | , , |
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| Format: | Student Project |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/80817/1/80817.pdf https://ir.uitm.edu.my/id/eprint/80817/ |
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