Results 31 to 40 of about 166,031,618 (286)
Goodness-of-fit indices for partial least squares path modeling
Computational statistics (Zeitschrift), 2013 This paper discusses a recent development in partial least squares (PLS) path modeling, namely goodness-of-fit indices. In order to illustrate the behavior of the goodness-of-fit index (GoF) and the relative goodness-of-fit index (GoFrel), we estimate ...
J. Henseler, M. Sarstedt
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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
Made to measure? Europeanization, goodness of fit and adaptation pressures in EU competition policy and regional aid [PDF]
, 2006 Increasing attention has been devoted to understanding the process and outcomes of Europeanization, but the measurement of its impact and of the adaptational pressures involved remains elusive. Conventional constructs of Europeanization view 'goodness of
Wishlade, F.G. +4 more
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Multivariate goodness-of-fit tests based on kernel density estimators
Nonlinear Analysis, 2015 The paper is devoted to multivariate goodness-of-fit ests based on kernel density estimators. Both simple and composite null hypotheses are investigated.
Aleksej Bakshaev, Rimantas Rudzkis
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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 Chávez, Aurea
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Testing Goodness-of-Fit of Parametric Spatial Trends
Proceedings, 2018 The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametric trend surface, that is, a regression model with spatially correlated errors.
Andrea Meilán-Vila +3 more
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Goodness of fit by Neyman-Pearson testing
SciPost PhysicsThe Neyman-Pearson strategy for hypothesis testing can be employed for goodness of fit if the alternative hypothesis is selected from data by exploring a rich parametrised family of models, while controlling the impact of statistical fluctuations.
Gaia Grosso, Marco Letizia, Maurizio Pierini, Andrea Wulzer
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1963 SUMMARY An explicit account is given of a procedure for assessing goodness of fit of some observations with a hypothesis, generally known as a “test of significance”; the description is close in spirit to R. A. Fisher’s original conception. The relation of this test procedure with Bayesian procedures and with the Neyman–Pearson theory of
openaire +2 more sources
Karhunen-loève basis in goodness-of-fit tests decomposition: an evaluation [PDF]
, 2006 In a previous paper (Grané and Fortiana 2006) we studied a flexible class of goodness-of-fit tests associated with an orthogonal sequence, the Karhunen-Loève decomposition of a stochastic process derived from the null hypothesis.
Grané Chávez, Aurea, Fortiana, Josep
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