Results 41 to 50 of about 400,578 (220)

Tailor-made tests for goodness of fit to semiparametric hypotheses [PDF]

, 2006
We introduce a new framework for constructing tests of general semiparametric hypotheses which have nontrivial power on the $n^{-1/2}$ scale in every direction, and can be tailored to put substantial power on alternatives of importance.
Bickel, Peter J., Ritov, Ya'acov, Stoker, Thomas M.   +2 more
core   +2 more sources

A Novel Goodness-of-Fit Test for Cauchy Distribution

Journal of Mathematics, 2023
Recently, several goodness-of-fit tests for Cauchy distribution have been introduced based on Kullback–Leibler divergence and likelihood ratio. It is claimed that these tests are more powerful than the well-known goodness-of-fit tests such as Kolmogorov ...
A. Pekgör
doaj   +1 more source

R2ucare: An R package to perform goodness-of-fit tests for capture-recapture models

bioRxiv, 2017
Assessing the quality of fit of a statistical model to data is a necessary step for conducting safe inference. We introduce R2ucare, an R package to perform goodness-of-fit tests for open single- and multi-state capture-recapture models. R2ucare also has
O. Gimenez, J. Lebreton, R. Choquet, R. Pradel   +3 more
semanticscholar   +1 more source

New Goodness-of-Fit Tests for the Kumaraswamy Distribution

Stats
The two-parameter distribution known as the Kumaraswamy distribution is a very flexible alternative to the beta distribution with the same (0,1) support.
David E. Giles
doaj   +1 more source

Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes [PDF]

Annals of Statistics, 2017
We consider marked empirical processes indexed by a randomly projected functional covariate to construct goodness-of-fit tests for the functional linear model with scalar response.
J. A. Cuesta-Albertos, Eduardo Garc'ia-Portugu'es, M. Febrero-Bande, W. Gonz'alez-Manteiga   +3 more
semanticscholar   +1 more source

An Exhaustive Power Comparison of Normality Tests

Mathematics, 2021
A goodness-of-fit test is a frequently used modern statistics tool. However, it is still unclear what the most reliable approach is to check assumptions about data set normality. A particular data set (especially with a small number of observations) only
Jurgita Arnastauskaitė, Tomas Ruzgas, Mindaugas Bražėnas   +2 more
doaj   +1 more source

Goodness-of-fit tests in many dimensions

, 2004
A method is presented to construct goodness-of-fit statistics in many dimensions for which the distribution of all possible test results in the limit of an infinite number of data becomes Gaussian if also the number of dimensions becomes infinite ...
A. van Hameren, Hellekalek, Niederreiter, Tichy, van Hameren, van Hameren   +5 more
core   +1 more source

Goodness-of-fit tests via phi-divergences

, 2006
A unified family of goodness-of-fit tests based on $\phi$-divergences is introduced and studied. The new family of test statistics $S_n(s)$ includes both the supremum version of the Anderson--Darling statistic and the test statistic of Berk and Jones [Z.
Jager, Leah, Wellner, Jon A.
core   +3 more sources

Neyman smooth-type goodness-of-fit tests in complex surveys

Statistical Theory and Related Fields
In this study, we extend Neyman smooth-type goodness-of-fit tests to complex survey settings involving categorical data, by incorporating design-consistent estimators under the survey framework.
Yan Lu, Lang Zhou, Guoyi Zhang, Ronald Christensen   +3 more
doaj   +1 more source

Tests of Gaussianity

, 2003
We review two powerful methods to test the Gaussianity of the cosmic microwave background (CMB): one based on the distribution of spherical wavelet coefficients and the other on smooth tests of goodness-of-fit.
A.M Aliaga, Antoine, Balbi, Barreiro, Cayón, Cayón, Cayón, Cox, E Martı́nez-González, F Argüeso, Hanany, J.E Gallegos, J.L Sanz, L Cayón, Martı́nez-González, R.B Barreiro, Rayner, Rayner, Spergel, Tenorio   +19 more
core   +1 more source