Results 291 to 300 of about 1,171,948 (354)

Adjusted generalized confidence intervals for the common coefficient of variation of several normal populations

Communications in statistics. Simulation and computation, 2018
This paper proposes the novel approaches to construct confidence intervals for the common coefficient of variation (CV) of several normal populations using the concepts of the adjusted generalized confidence interval (adjusted GCI) approach and the ...
Warisa Thangjai, S. Niwitpong, S. Niwitpong   +2 more
semanticscholar   +1 more source

Successive generalized confidence intervals

2022
The majority of work on multiple comparisons is on comparing the means of k ⩾3 populations following the work of Tukey (1953) on pairwise comparisons of k population means, of Dunnett (1955) on comparisons of several means with a control mean, and of Scheff ́e (1953) on all-contrast comparisons among the population means.
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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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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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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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Bootstrap confidence intervals of generalized process capability index Cpyk using different methods of estimation

Journal of Applied Statistics, 2019
One of the indicators for evaluating the capability of a process is the process capability index. In this article, we consider six frequentest estimation methods, namely, the method of maximum likelihood (ML), the method of least square (LS), the method ...
S. Dey, Mahendra Saha
semanticscholar   +1 more source

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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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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Generating confidence intervals via model comparison

2004
Abstract In this chapter, we’ll develop a third method to obtain the confidence interval of a best-fit parameter (to complement the asymptotic and Monte Carlo methods described in the previous two chapters). It is based on the method to be discussed below in Chapter 22.
Harvey Motulsky, Arthur Christopoulos
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Sequential confidence intervals based on generalized m-statistics

Sequential Analysis, 1987
A broad class of statistics including U-statistics and generalized quantiles (U- quantiles) can be viewed as solutions to an equation of the form . For these generalized M- estimators we develop weak and strong representations. As an application of the weak representation we show a central limit theorem for Mn. From the a.s.
M. Aerts, P. Janssen, N. Veraverbeke
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