Results 291 to 300 of about 1,986,171 (336)

CONFIDENCE REGIONS FOR REGRESSION PARAMETERS

Australian Journal of Statistics, 1962
SummarySuggestions for combining confidence interval estimates and extensions of the procedures to the determination of confidence regions for regression curves have been put forward. The merit of these ideas is believed to lie in their simplicity and potential wide applicability to a variety of regression problems.
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A new class of asymptotically valid confidence regions confidence regions

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011
Weerahandi introduced the concept of generalized confidence intervals, which are to develop interval estimation. But it is difficult to use this method for constructing generalized confidence regions of vector parameters. In this paper we give a new method based on generalized bootstrap variable to construct asymptotically correct confidence regions of
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A new confidence region for the multinomial distribution

Communications in Statistics - Simulation and Computation, 2015
ABSTRACTA simple confidence region is proposed for the multinomial parameter. It is designed for situations having zero cell counts. Simulation studies as well as a real data application show that it performs at least as well as than at least two of the most common confidence regions.
Christopher S. Withers, Saralees Nadarajah   +1 more
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Confidence Regions for Distribution Bounds

IEEE Transactions on Reliability, 1980
This paper considers the problem of constructing an s-confidence region for a pair of parameters which together mark the bounds of a distribution. The problem is solved, and a table provided, for a rectangular distribution; the solution is then generalized.
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ON THE CONSTRUCTION OF BOUNDS CONFIDENCE REGIONS

Econometric Theory, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Confidence Regions for Spectral Peak Frequencies

Biometrical Journal, 1997
AbstractA procedure is proposed to obtain confidence regions for spectral peak frequencies. The method is based on resampling the periodogram from the estimated spectrum in order to reestimate the spectrum and its peak frequency. We investigate the dependence of the results from the applied spectral estimator in three simulation studies and apply the ...
Timmer, Jens, Lauk, Michael, Lücking, Carl H.   +2 more
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Confidence regions for spectral bounds

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Existing variance calculations for spectral estimates are unsatisfactory in that they depend upon information that is usually unavailable in practice. Some recent work in spectral estimation has involved the computation of bounds on the average spectral density in some region from a true correlation matrix.
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THE CALCULATION OF CONFIDENCE REGIONS FOR EIGENVECTORS

Australian Journal of Statistics, 1984
summaryAn explicit algorithm is given for constructing a confidence region on the appropriate unit sphere for an eigenvector, given a large sample. It is assumed the eigenvector corresponds to the largest eigenvalue of ExxT, a matrix with distinct eigenvalues, and that the estimation uses n‐1S̀xixixT.
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Fuzzy Confidence Regions

2016
Confidence regions are usually based on exact data. However, continuous data are always more or less non-precise, also called fuzzy. For fuzzy data the concept of confidence regions has to be generalized. This is possible and the resulting confidence regions are fuzzy subsets of the parameter space.
Reinhard Viertl, Shohreh Mirzaei Yeganeh
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Confidence regions of planar cardiac vectors

Journal of Electrocardiology, 1980
A method is presented for plotting the 90%, 95%, and 99% confidence regions of planar cardiac vectors based on the bivariate normal distribution.
S, Dubin, A, Herr, P, Hunt
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