The implementation of Newton Divided Difference method and Hermite Interpolation method to estimate the value of revenue produced by information and communication sector / Muhammad Ruzaini Akmal Rahadi
This study is estimating the value of revenue produced by the information and communication sector using the method of Newton Forward Divided Difference, Newton Backward Divided Difference and Hermite Interpolation. The data utilized in this project was sourced from the Department of Statistics Mala...
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| Format: | Thesis |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/106182/1/106182.pdf |
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| Summary: | This study is estimating the value of revenue produced by the information and communication sector using the method of Newton Forward Divided Difference, Newton Backward Divided Difference and Hermite Interpolation. The data utilized in this project was sourced from the Department of Statistics Malaysia, from year 2018 until 2023. The data obtained are in Ringgit Malaysia (in RM) and number of persons engaged, which it will produced the revenue value obtained by information and communication sector. The estimation values from each method will be compared with the actual values from the data to determine the error. The smallest error among three methods indicates the best numerical method in estimating the values for the data used in this project. In this research, Newton Backward Divided Difference method exhibits the smallest mean square error, which provides the best method to estimate the revenue of Information and Communication sector. |
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