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Anderson-Darling Tests of Goodness-of-Fit.
T. W. Anderson
- pp 52-54
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The article was published on 2011-01-01 and is currently open access. It has received 51 citations till now. The article focuses on the topics: Goodness of fit.read more
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Quantifying Changes in Future Intensity‐Duration‐Frequency Curves Using Multimodel Ensemble Simulations
TL;DR: In this article, a framework for quantifying climate change impacts based on the magnitude and frequency of extreme rainfall events using bias corrected historical and multimodel projected precipitation extremes is presented.
Journal ArticleDOI
Meta-analysis of diagnostic studies based upon SROC-curves: a mixed model approach using the Lehmann family
TL;DR: In this paper, the Lehmann model is further extended by allowing the constant of proportionality to vary across studies to cope with unobserved heterogeneity, and the adjusted profile likelihood turns out to have a simple univariate Gaussian structure which is ultimately used for building inference for the parameter of Lehmann family.
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Andrew Berdahl,Uttam Bhat,Vanessa Ferdinand,Joshua Garland,Keyan Ghazi-Zahedi,Justin Grana,Joshua A. Grochow,Elizabeth A. Hobson,Yoav Kallus,Christopher P. Kempes,Artemy Kolchinsky,Daniel B. Larremore,Eric Libby,Eleanor A. Power,Brendan D. Tracey +14 more
TL;DR: In this paper, the authors employ cross-cutting metrics to compare records across a variety of domains, including sports, games, biological evolution, and technological development, and find that these domains exhibit characteristic statistical signatures in terms of rates of improvement, "burstiness" of record-breaking time series, and the acceleration of the record breaking process.
Journal Article
Fitting Probability Distributions of Annual Rainfall in Sudan
TL;DR: In this article, the best fit probability distribution was selected based on the minimum deviation between observed and estimated values for the annual rainfall in Sudan during the period of the study, respectively, using three statistical goodness of fit test were used on the basis of the minimum value of test statistic.
Journal ArticleDOI
A new goodness of fit test in the presence of uncertain parameters
TL;DR: In this article, the Anderson-Darling test under neutrosophic statistics has been proposed for testing the assumption of the Weibull distribution, and the proposed test gives information about the measure of indeterminacy.
References
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Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
TL;DR: In this article, a general method for calculating the limiting distributions of these criteria is developed by reducing them to corresponding problems in stochastic processes, which in turn lead to more or less classical eigenvalue and boundary value problems for special classes of differential equations.
Journal ArticleDOI
A Test of Goodness of Fit
TL;DR: The Kolmogorov test as discussed by the authors is a distribution-free test of goodness of fit that is sensitive to discrepancies at the tails of the distribution rather than near the median.
Journal ArticleDOI
Asymptotic Results for Goodness-of-Fit Statistics with Unknown Parameters
TL;DR: In this paper, the asymptotic distributions of the goodness-of-fit statistics (W^2, U^2$ and A^2) are given for the cases where the distribution tested is (a) normal, with mean or variance, or both, unknown; (b) exponential, with scale parameter unknown.
Journal ArticleDOI
Estimation and Tests-of-Fit for the Three Parameter Weibull Distribution
TL;DR: In this paper, a three-parameter Weibull distribution with unknown location, shape and scale parameters is estimated, with the location or origin unknown, and possibly also the shape and/or scale parameters unknown.
Journal ArticleDOI
Tests of fit for the von Mises distribution
TL;DR: In this paper, critical points for the asymptotic distribution of Watson's U2 statistic are given for testing the hypothesis that a sample comes from the two-parameter von Mises distribution on the circle when one or more of the parameters is unknown.