Results 31 to 40 of about 369,455 (188)

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

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

Tests of Goodness of Fit

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

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

Goodness-of-Fit Tests via Entropy-Based Density Estimation Techniques

Stats
Goodness-of-fit testing remains a fundamental problem in statistical inference with broad practical importance. In this paper, we introduce two new goodness-of-fit tests grounded in entropy-based density estimation techniques.
Luai Al-Labadi, Ruodie Yu, Kairui Bao
doaj   +1 more source

Goodness-of-Fit Tests For Elliptical and Independent Copulas through Projection Pursuit

Algorithms, 2011
Two goodness-of-fit tests for copulas are being investigated. The first one deals with the case of elliptical copulas and the second one deals with independent copulas.
Jacques Touboul
doaj   +1 more source

Adaptive goodness-of-fit tests in a density model

, 2006
Given an i.i.d. sample drawn from a density $f$, we propose to test that $f$ equals some prescribed density $f_0$ or that $f$ belongs to some translation/scale family. We introduce a multiple testing procedure based on an estimation of the $\mathbb{L}_2$-
Fromont, Magalie, Laurent, Béatrice
core   +3 more sources