Results 261 to 270 of about 2,729,407 (305)

Simultaneous Confidence Intervals for the General Linear Model

Biometrics, 1987
This paper describes, compares, and illustrates four known simultaneous confidence interval procedures for the general linear model. It is shown that three of the four procedures can be ordered by the increasing length of their confidence intervals as follows: (i) Šidák multivariate t- distribution intervals, (ii) Šidák independent t-distribution ...
Fuchs, Camil, Sampson, Allan R.
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Generalized confidence intervals for process capability indices

Quality and Reliability Engineering International, 2006
AbstractThe concept of generalized confidence intervals is used to derive lower confidence limits for some of the commonly used process capability indices. For the cases where approximate lower confidence limits are already available, numerical comparisons are made among the available approximations and the generalized lower confidence limit.
Thomas Mathew, George Sebastian, K. M. Kurian   +2 more
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Confidence intervals for for the generalized exponential distribution

Statistical Methodology, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hajebi, Mahtab, Rezaei, Sadegh, Nadarajah, Saralees   +2 more
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Generalized fiducial confidence intervals for extremes

Extremes, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wandler, Damian V., Hannig, Jan
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Confidence Intervals of Variance Functions in Generalized Linear Model

Acta Mathematicae Applicatae Sinica, English Series, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Yong, Li, Daoji
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Efficiency of Confidence Intervals Generated by Repeated Subsample Calculations

Biometrika, 1970
Summary: Confidence intervals for a mean may be obtained from n observations continuously and symmetrically distributed about the mean, by computing the means of all \(2^n-1\) subsets, or subsamples, of the observations. The true mean lies in each of the intervals between the ordered subsample means with probability \(2^{-n}\). In order to reduce the \(
Forsythe, Alan, Hartigan, J. A.
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Generalization of distribution – Free confidence intervals for bioavailability ratios

European Journal of Clinical Pharmacology, 1985
The confidence interval approach to bioavailability assessment depends first on selection of the confidence level, usually 95%, and then determination of the confidence limits for the expected bioavailability ratio AUC(Test)/AUC(Reference).
V W, Steinijans, E, Diletti
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A General Approach to Ridge Analysis with Confidence Intervals

Technometrics, 1993
In response-surface methodology, ridge analysis is a graphical technique for interpreting response surfaces, particularly those of three or more dimensions. Standard ridge-analysis techniques employ a second-order polynomial regression model. An approach to ridge analysis is presented here that generalizes its current scope.
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Bootstrap generated confidence interval for time averaged measure

International Journal of Modeling, Simulation, and Scientific Computing, 2015
In the simulation output analysis, there are some measures that should be calculated by time average concept such as the mean queue length. Especially, the confidence interval of those measures might be required for statistical analysis. In this situation, the traditional method that utilizes the central limit theorem (CLT) is inapplicable if the ...
Jinsoo Park 0004, Haneul Lee, Yun Bae Kim   +2 more
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On Generating Confidence Intervals for Nonparametric Methods

2017
Nonparametric techniques provide no analytical solutions for confidence intervals. The bootstrap and jackknife methods are applied to Data Envelopment Analysis to generate different confidence intervals, which affect the probability of committing a type I error.
Wildman, John, Hollingsworth, Bruce
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