Maximum likelihood estimation of the burr XII parameters with censored and uncensored data

F. K. Wang*, J. B. Keats, William J. Zimmer

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

66 Scopus citations

Abstract

This paper presents the methodology for obtaining point and interval estimates of the parameters of the Burr Type XII distribution with multiple-censored and singly-censored data (Type I censoring or Type II censoring) as well as complete data, using the maximum likelihood method. The basis is the likelihood expression for multiple-censored data. The other types of censoring and complete data are treated as special cases. A FORTRAN language program was used. Some illustrative examples are included.

Original languageEnglish
Pages (from-to)359-362
Number of pages4
JournalMicroelectronics Reliability
Volume36
Issue number3
DOIs
StatePublished - 03 1996
Externally publishedYes

Fingerprint

Dive into the research topics of 'Maximum likelihood estimation of the burr XII parameters with censored and uncensored data'. Together they form a unique fingerprint.

Cite this