| dc.contributor | 統計系 | |
| dc.creator (作者) | Kim, Yuneung;Son, Won;Lim, Johan;Kuo, H.-C. | en_US |
| dc.creator (作者) | 郭訓志 | zh_TW |
| dc.creator (作者) | Kuo, H.-C. | en_US |
| dc.date (日期) | 2017-10 | |
| dc.date.accessioned | 9-Oct-2018 11:49:53 (UTC+8) | - |
| dc.date.available | 9-Oct-2018 11:49:53 (UTC+8) | - |
| dc.date.issued (上傳時間) | 9-Oct-2018 11:49:53 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/120426 | - |
| dc.description.abstract (摘要) | In this paper, we study an algorithm to compute the non-parametric maximum likelihood estimator of stochastically ordered survival functions from case 2 interval-censored data. The algorithm, simply denoted by SQP (sequential quadratic programming), re-parameterizes the likelihood function to make the order constraints as a set of linear constraints, approximates the log-likelihood function as a quadratic function, and updates the estimate by solving a quadratic programming. We particularly consider two stochastic orderings, simple and uniform orderings, although the algorithm can also be applied to many other stochastic orderings. We illustrate the algorithm using the breast cancer data reported in Finkelstein and Wolfe | en_US |
| dc.format.extent | 129 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Communications in Statistics - Simulation and Computation, | |
| dc.subject (關鍵詞) | Interval-censored data; Linear order constraints; Non-parametric maximum likelihood estimator; Quadratic programming; Stochastic ordering | en_US |
| dc.title (題名) | A General Algorithm for Nonparametric Maximum Likelihood Estimator of Stochastically Ordered Survival Functions from Case 2 Interval Censored Data | en_US |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1080/03610918.2017.1400052 | |
| dc.doi.uri (DOI) | https://doi.org/10.1080/03610918.2017.1400052 | |
