An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring
Andrew G. Glen () and
Bobbie L. Foote
Additional contact information
Andrew G. Glen: The Colorado College
Bobbie L. Foote: USMA
Chapter 6 in Computational Probability Applications, 2017, pp 59-73 from Springer
Abstract:
Abstract We present a methodology for performing statistical inference procedures during the actual conduct of a life test experiment that can reduce time on test and cost. The method relies on properties of conditional order statistic distributions to convert censored data into iid uniform random variables. A secondary result presents a new test for uniformity based on the convolution of these iid uniform random variables that is higher in power than the benchmark Anderson–Darling test statistic in certain cases.
Keywords: Computational algebra systems; Goodness-of-fit; Probability integral transform; Uniformity testing (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-43317-2_6
Ordering information: This item can be ordered from
http://www.springer.com/9783319433172
DOI: 10.1007/978-3-319-43317-2_6
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().