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Title: Computation of Confidence Limits for Linear Functions of the Normal Mean and Variance

Abstract

A program is described that calculates exact and optimal (uniformly most accurate unbiased) confidence limits for linear functions of the normal mean and variance. The program can therefore also be used to calculate confidence limits for monotone transformations of such functions (e.g., lognormal means). The accuracy of the program has been thoroughly evaluated in terms of coverage probabilities for a wide range of parameter values.

Authors:
;
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (US)
Sponsoring Org.:
USDOE Office of Science (US)
OSTI Identifier:
14314
Report Number(s):
ORNL/TM-1999/206
TRN: AH200136%%529
DOE Contract Number:  
AC05-96OR22464
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Sep 1999
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; ACCURACY; TRANSFORMATIONS; ORNL

Citation Formats

Land, C.E., and Lyon, B.F. Computation of Confidence Limits for Linear Functions of the Normal Mean and Variance. United States: N. p., 1999. Web. doi:10.2172/14314.
Land, C.E., & Lyon, B.F. Computation of Confidence Limits for Linear Functions of the Normal Mean and Variance. United States. doi:10.2172/14314.
Land, C.E., and Lyon, B.F. Wed . "Computation of Confidence Limits for Linear Functions of the Normal Mean and Variance". United States. doi:10.2172/14314. https://www.osti.gov/servlets/purl/14314.
@article{osti_14314,
title = {Computation of Confidence Limits for Linear Functions of the Normal Mean and Variance},
author = {Land, C.E. and Lyon, B.F.},
abstractNote = {A program is described that calculates exact and optimal (uniformly most accurate unbiased) confidence limits for linear functions of the normal mean and variance. The program can therefore also be used to calculate confidence limits for monotone transformations of such functions (e.g., lognormal means). The accuracy of the program has been thoroughly evaluated in terms of coverage probabilities for a wide range of parameter values.},
doi = {10.2172/14314},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1999},
month = {9}
}