✦ LIBER ✦

Asymptotic expansion of the log-likelihood function based on stopping times defined on a Markov process

✍ Scribed by M. G. Akritas; G. G. Roussas

Publisher: Springer Japan
Year: 1979
Tongue: English
Weight: 735 KB
Volume: 31
Category: Article
ISSN: 0020-3157
DOI: 10.1007/bf02480263

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A method for obtaining asymptotic expans

A method for obtaining asymptotic expansions under alternatives based on the properties of the likelihood ratio

✍ V. E. Bening 📂 Article 📅 1998 🏛 Springer US 🌐 English ⚖ 637 KB

The asymptotics of maximum-likelihood es

The asymptotics of maximum-likelihood estimates of parameters based on a data type where the failure and the censoring time are dependent

✍ Di Chen; Jye-Chyi Lu 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 654 KB

This article derives the asymptotic results of the maximum-likelihood estimates of the parameters in the general bivariate continuous distribution for the data type, in which the failure time and the censoring variables are dependent. This data type is motivated from life-testing two-component paral

Maximum likelihood estimation of Weibull

Maximum likelihood estimation of Weibull parameters in a renewal process based on remaining life from a specified time : Tsunenori Ishioka, Yuji Hahimoto and Yasuo Nonaka. Proceedings of the 22nd Symposium on Reliability and Maintainability, Tokyo, Japan. Union of Japanese Scientists and Engineers, 69 (June 1992)

📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 111 KB