Exact and Generalized Confidence Intervals in the Common Mean Problem
Joachim Hartung () and
Guido Knapp ()
Additional contact information
Joachim Hartung: Technische Universität Dortmund, Fakultät Statistik
Guido Knapp: Technische Universität Dortmund, Fakultät Statistik
A chapter in Statistical Inference, Econometric Analysis and Matrix Algebra, 2009, pp 85-102 from Springer
Abstract:
Abstract Several exact confidence intervals for the common mean of independent normal populations have been proposed in the literature. Not all of these intervals always produce genuine intervals. In this paper, we consider three types of always genuine exact confidence intervals and compare these intervals with two known generalized confidence intervals for the common mean and a newly proposed one. Besides simulation results, two real data examples are presented illustrating the performance of the various procedures.
Keywords: Unbiased Estimator; Nuisance Parameter; Good Linear Unbiased Estimator; Exact Confidence Interval; Pivotal Quantity (search for similar items in EconPapers)
Date: 2009
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:sprchp:978-3-7908-2121-5_6
Ordering information: This item can be ordered from
http://www.springer.com/9783790821215
DOI: 10.1007/978-3-7908-2121-5_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().