Modification of Tukey’s smoothing techniques for extreme data
Two Tukey’s techniques which are resistant line for linear trend and resistant smoothing for non linear trend have been reviewed in this research. The new resistant line for method of dividing the batches using range dealing with ties and non ties is recommended. The determination of sample size...
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| Format: | Thesis |
| Language: | English |
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2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/67711/1/FS%202017%2084%20%20IR.pdf |
| _version_ | 1825933384293023744 |
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| author | Husain, Qasim Nasir |
| author_facet | Husain, Qasim Nasir |
| author_sort | Husain, Qasim Nasir |
| collection | UPM |
| description | Two Tukey’s techniques which are resistant line for linear trend and resistant smoothing
for non linear trend have been reviewed in this research. The new resistant line for method
of dividing the batches using range dealing with ties and non ties is recommended.
The determination of sample size in each batch is also being introduced.
In resistant smoothing, mathematical terms have been initiated and incorporated in this
technique, the part which has been neglected by introducer of exploratory data analysis.
New symmetric mean, right mean, left mean, right median, and left median have
been proposed, leading to more simple process of smoothing technique. Later, the proposed
methods have been used for the suggested compound smoothing techniques and
hannings with simpler, faster and better smooth.
Additionally, in order to evaluate the efficiency of variant proposed techniques together
with the smoothing index and extra balance test, simulation data with big data size have
successfully been applied. |
| first_indexed | 2024-03-06T09:56:27Z |
| format | Thesis |
| id | upm.eprints-67711 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:56:27Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | upm.eprints-677112019-03-26T08:15:39Z http://psasir.upm.edu.my/id/eprint/67711/ Modification of Tukey’s smoothing techniques for extreme data Husain, Qasim Nasir Two Tukey’s techniques which are resistant line for linear trend and resistant smoothing for non linear trend have been reviewed in this research. The new resistant line for method of dividing the batches using range dealing with ties and non ties is recommended. The determination of sample size in each batch is also being introduced. In resistant smoothing, mathematical terms have been initiated and incorporated in this technique, the part which has been neglected by introducer of exploratory data analysis. New symmetric mean, right mean, left mean, right median, and left median have been proposed, leading to more simple process of smoothing technique. Later, the proposed methods have been used for the suggested compound smoothing techniques and hannings with simpler, faster and better smooth. Additionally, in order to evaluate the efficiency of variant proposed techniques together with the smoothing index and extra balance test, simulation data with big data size have successfully been applied. 2017-08 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/67711/1/FS%202017%2084%20%20IR.pdf Husain, Qasim Nasir (2017) Modification of Tukey’s smoothing techniques for extreme data. Doctoral thesis, Universiti Putra Malaysia. Mathematical models Quantitative research Symmetric spaces |
| spellingShingle | Mathematical models Quantitative research Symmetric spaces Husain, Qasim Nasir Modification of Tukey’s smoothing techniques for extreme data |
| title | Modification of Tukey’s smoothing techniques for extreme data |
| title_full | Modification of Tukey’s smoothing techniques for extreme data |
| title_fullStr | Modification of Tukey’s smoothing techniques for extreme data |
| title_full_unstemmed | Modification of Tukey’s smoothing techniques for extreme data |
| title_short | Modification of Tukey’s smoothing techniques for extreme data |
| title_sort | modification of tukey s smoothing techniques for extreme data |
| topic | Mathematical models Quantitative research Symmetric spaces |
| url | http://psasir.upm.edu.my/id/eprint/67711/1/FS%202017%2084%20%20IR.pdf |
| work_keys_str_mv | AT husainqasimnasir modificationoftukeyssmoothingtechniquesforextremedata |