Results 271 to 280 of about 2,729,407 (305)

Confidence intervals for quantiles using generalized lambda distributions

Computational Statistics & Data Analysis, 2009
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GENERALIZED CONFIDENCE INTERVALS FOR FUNCTION OF VARIANCES OF LOGNORMAL DISTRIBUTIONS

Advances and Applications in Statistics, 2017
Summary: This paper presents the generalized confidence intervals, proposed by \textit{S. Weerahandi} [J. Am. Stat. Assoc. 88, No. 423, 899--905 (1993; Zbl 0785.62029)], for a single variance, the difference between two population variances and the ratio of population variances of lognormal distribution.
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Confidence intervals in generalized method of moments models

Journal of Econometrics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Imbens, Guido W., Spady, Richard
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Generalized confidence interval and p-value in location and scale family

Sankhya B, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nkurunziza, Sévérien, Chen, Fuqi
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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. That chapter explains how to compare two related fits to a set of
Harvey Motulsky, Arthur Christopoulos
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Generating confidence intervals by Monte Carlo simulations

2004
Abstract As discussed in the previous chapter, the asymptotic method built in to most nonlinear regression programs is only an approximate method to determine the confidence interval of a best-fit parameter. This chapter presents one alternative method, and the next chapter presents still another alternative method.
Harvey Motulsky, Arthur Christopoulos
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Generating Monte Carlo Confidence Intervals by the Robbins-Monro Process

Applied Statistics, 1992
Summary: A new use of the Robbins-Monro search process to generate Monte Carlo confidence intervals for a single-parameter density function is described. When the optimal value of a 'step length constant' is known, asymptotically the process gives exact confidence intervals and is fully efficient.
Garthwaite, P. H., Buckland, S. T.
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GENERALIZED CONFIDENCE INTERVALS FOR THE PROCESS CAPABILITY INDICES

Journal of the Chinese Institute of Industrial Engineers, 2001
ABSTRACT In this paper, we construct interval estimates for the process capability indices by using the concept of generalized confidence interval. It can be shown that the generalized confidence intervals are equivalent to the Bayesian confidence intervals.
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A generalized score confidence interval for a binomial proportion

Journal of Statistical Planning and Inference, 2012
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A General Method for Constructing Simultaneous Confidence Intervals

Journal of the American Statistical Association, 1982
Abstract A general method is proposed for constructing simultaneous confidence intervals that gives special emphasis to any preselected finite spanning subset in a linear space of estimable functions. The method has a wide range of application, including regression analysis.
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