✦ LIBER ✦

Constrained nonparametric maximum likelihood estimation of stochastically ordered survivor functions

✍ Scribed by Yongseok Park; John D. Kalbfleisch; Jeremy M. G. Taylor

Publisher: John Wiley and Sons
Year: 2012
Tongue: French
Weight: 587 KB
Volume: 40
Category: Article
ISSN: 0319-5724
DOI: 10.1002/cjs.10143

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On nonparametric maximum likelihood esti

On nonparametric maximum likelihood estimation of a distribution uniformly stochastically smaller than a standard

✍ Javier Rojo; Francisco J. Samaniego 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 356 KB

On non-parametric maximum likelihood est

On non-parametric maximum likelihood estimation of the bivariate survivor function

✍ Ross L. Prentice 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 171 KB 👁 2 views

The likelihood function for the bivariate survivor function F, under independent censorship, is maximized to obtain a non-parametric maximum likelihood estimator F K . F K may or may not be unique depending on the con"guration of singly-and doubly-censored pairs. The likelihood function can be maxim

Stepwise variable selection and maximum

Stepwise variable selection and maximum likelihood estimation of smoothing factors of kernel functions for nonparametric discriminant functions evaluated by different criteria

✍ K.P. Pfeiffer 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 1012 KB

Consistency of nonparametric maximum lik

Consistency of nonparametric maximum likelihood estimation of a distribution function based on doubly interval-censored failure time data

✍ Hong-Bin Fang; Jianguo Sun 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 101 KB