Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model
Rank-based method and least square approach are the most common techniques for estimating the regression parameters of accelerated failure time model. In this study, both inference procedures are considered their advantages and disadvantages are explained and their similarities and differences are d...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Juniper Publishers
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/81927/1/Rank%20estimators%20versus%20.pdf http://psasir.upm.edu.my/id/eprint/81927/ https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555757.php |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
| Summary: | Rank-based method and least square approach are the most common techniques for estimating the regression parameters of accelerated failure time model. In this study, both inference procedures are considered their advantages and disadvantages are explained and their similarities and differences are discussed. |
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