Results 1 to 10 of about 400,578 (220)
Tuning goodness-of-fit tests† [PDF]
Monthly Notices of the Royal Astronomical Society, 2019 As modern precision cosmological measurements continue to show agreement with the broad features of the standard $ $-Cold Dark Matter ($ $CDM) cosmological model, we are increasingly motivated to look for small departures from the standard model's predictions which might not be detected with standard approaches.
A Arrasmith, B Follin, E Anderes, L Knox
openaire +2 more sources
Some multivariate goodness of fit tests based on data depth [PDF]
Journal of nonparametric statistics (Print), 2021 Using notions of depth functions in the multivariate setting, we have constructed several new multivariate goodness of fit (GoF) tests based on existing univariate GoF tests.
Rahul Singh, S. Dutta, N. Misra
semanticscholar +1 more source
Multivariate goodness-of-fit tests based on Wasserstein distance [PDF]
Electronic Journal of Statistics, 2020 Goodness-of-fit tests based on the empirical Wasserstein distance are proposed for simple and composite null hypotheses involving general multivariate distributions.
M. Hallin, Gilles Mordant, J. Segers
semanticscholar +1 more source
Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem [PDF]
BMC Neuroscience, 2010 Haslinger Robert +2 more
doaj +2 more sources
A Review of Goodness-of-Fit Tests for the Rayleigh Distribution
Austrian Journal of Statistics, 2023 The Rayleigh distribution has recently become popular as a model for a range of phenomena. As a result, a number of goodness-of-fit tests have been developed for this distribution.
Shawn Liebenberg, James Allison
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Exact goodness-of-fit tests for censored dats [PDF]
, 2009 The statistic introduced in Fortiana and Grané (2003) is modified so that it can be used to test the goodness-of-fit of a censored sample, when the distribution function is fully specified.
Grané, Aurea
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On Goodness-of-Fit Tests for the Neyman Type A Distribution
Revstat Statistical Journal, 2023 The two-parameter Neyman type A distribution is quite useful for modeling count data, since it corresponds to a simple, flexible and overdispersed discrete distribution, which is also zero[1]inflated.
Apostolos Batsidis, Artur J. Lemonte
doaj +1 more source
Some Goodness of Fit Tests for Random Sequences
Lithuanian Journal of Statistics, 2013 In this paper we had made an attempt to incorporate the results from the theory of square Gaussian random variables in order to construct the goodness of fits test for random sequences (time series). We considered two versions of such tests.
Yuriy Kozachenko, Tetiana Ianevych
doaj +1 more source
Asymptotic Pitman's Relative Efficiency
Statistica, 2017 Pitman efficiency is the oldest known efficiency. Most of the known results for computing the Pitman efficiency take the form of bounds. Based on some recent developments due to the authors and some calculus of variations, we develop tools for ...
Christopher S. Withers +1 more
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Goodness-of-fit tests for weibull populations on the basis of records [PDF]
Journal of Statistical Theory and Applications (JSTA), 2015 Record is used to reduce the time and cost of running experiments (Doostparast and Balakrishnan, 2010). It is important to check the adequacy of models upon which inferences or actions are based (Lawless, 2003, Chapter 10, p. 465).
Mahdi Doostparast
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