Calculating Confidence Interval Estimation Using Maximum Likelihood Estimator For Dataset
Confidence interval estimation is an important technique in statistical inference. The objective of this paper is to demonstrate the calculation of confidence interval using maximum likelihood method for surface roughness. The advantages of maximum likelihood method are convenience to use and compu...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Sultan Zainal Abidin
2021
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/30751/1/MJCAM%2004%2002%202021%2001-05.pdf https://repo.uum.edu.my/id/eprint/30751/ https://journal.unisza.edu.my/myjcam/index.php/myjcam/article/view/67 |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |
| Summary: | Confidence interval estimation is an important technique in statistical inference. The objective of this paper is to demonstrate the calculation of confidence interval using maximum likelihood method for surface roughness. The advantages of maximum likelihood method are
convenience to use and computational efficient. The interval length of confidence interval showed that 99% is the highest width compared to 90% and 95% |
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