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Communications in Statistics - Theory and Methods Volume 47, 2018 - Issue 19
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Articles

Proportional hazards model with quantile functions

N. Unnikrishnan NairDepartment of Statistics, Cochin University of Science and Technology, Cochin, Kerala, India
,
P. G. SankaranDepartment of Statistics, Cochin University of Science and Technology, Cochin, Kerala, India
&
S. M. SunojDepartment of Statistics, Cochin University of Science and Technology, Cochin, Kerala, IndiaCorrespondence[email protected]
Pages 4710-4723 | Received 25 May 2017, Accepted 22 Feb 2018, Published online: 20 Mar 2018

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Read on this site (2)

I. C. Aswin, P. G. Sankaran & S. M. Sunoj. (2024) Some reliability aspects of record values using quantile functions. Communications in Statistics - Theory and Methods 53:13, pages 4755-4775.
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Zahra Mansourvar. (2022) The ϕ-divergence family of measures based on quantile function. Statistics 56:5, pages 1113-1132.
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Articles from other publishers (3)

Komal Shekhawat & Vikas Kumar Sharma. (2022) A new family of decreasing density and hazard quantile functions for modeling time-to-event data. International Journal of Modeling, Simulation, and Scientific Computing 14:05.
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Unnikrishnan Nair N., Silpa Subhash & S. M. Sunoj. (2022) Some new results on Cox–Czanner divergence and their applications in survival studies. Biometrical Journal 65:3.
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Suchandan Kayal, Rajesh Moharana & S. M. Sunoj. (2019) QUANTILE-BASED STUDY OF (DYNAMIC) INACCURACY MEASURES. Probability in the Engineering and Informational Sciences 34:2, pages 183-199.
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