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Quantile regression based on the counting process approach under dependent truncated data.

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Title: Quantile regression based on the counting process approach under dependent truncated data.
Authors: Hsieh, Jin-Jian1 (AUTHOR) jinjian.hsieh@gmail.com, Chen, Pin-Han1 (AUTHOR)
Source: Journal of Statistical Computation & Simulation. Nov2024, Vol. 94 Issue 17, p3788-3806. 19p.
Database: Mathematics Source
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  Data: Quantile regression based on the counting process approach under dependent truncated data.
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  Data: <searchLink fieldCode="AR" term="%22Hsieh%2C+Jin-Jian%22">Hsieh, Jin-Jian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jinjian.hsieh@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Pin-Han%22">Chen, Pin-Han</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Statistical+Computation+%26+Simulation%22">Journal of Statistical Computation & Simulation</searchLink>. Nov2024, Vol. 94 Issue 17, p3788-3806. 19p.
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        Value: 10.1080/00949655.2024.2403515
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 3788
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      – TitleFull: Quantile regression based on the counting process approach under dependent truncated data.
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              Text: Nov2024
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              Y: 2024
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