Results 31 to 40 of about 79,500 (260)

Goodness-of-fit tests for copulas [PDF]

Journal of Multivariate Analysis, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Testing Multivariate Normality Based on F-Representative Points

Mathematics, 2022
The multivariate normal is a common assumption in many statistical models and methodologies for high-dimensional data analysis. The exploration of approaches to testing multivariate normality never stops.
Sirao Wang, Jiajuan Liang, Min Zhou, Huajun Ye   +3 more
doaj   +1 more source

Characterizations and Goodness of Fit Tests

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1982
Summary In this article a systematic approach to providing goodness of fit tests is discussed, for the composite goodness of fit problem of testing that the distribution F of a random sample comes from a parametric family F  o. Characterization procedures are emphasized, and it is shown that, at least for the exponential case, invariant ...
O'Reilly, Federico J., Stephens, Michael A.   +1 more
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Assessing Goodness of Fit for Verifying Probabilistic Forecasts

Forecasting, 2021
The verification of probabilistic forecasts in hydro-climatology is integral to their development, use, and adoption. We propose here a means of utilizing goodness of fit measures for verifying the reliability of probabilistic forecasts.
Tae-Ho Kang, Ashish Sharma, Lucy Marshall   +2 more
doaj   +1 more source

vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence

Journal of Statistical Software, 2020
The R package vsgoftest performs goodness-of-fit (GOF) tests, based on Shannon entropy and Kullback-Leibler divergence, developed by Vasicek (1976) and Song (2002), of various classical families of distributions. The so-called Vasicek-Song (VS) tests are
Justine Lequesne, Philippe Regnault
doaj   +1 more source

Efficient algorithm for testing goodness-of-fit for classification of high dimensional data

Lietuvos Matematikos Rinkinys, 2009
Let us have a sample satisfying d-dimensional Gaussian mixture model (d is supposed to be large). The problem of classification of the sample is considered. Because of large dimension it is natural to project the sample to k-dimensional (k = 1,  2, . . .)
Gintautas Jakimauskas
doaj   +1 more source

Development of an Informal Test for the Fit of a Probability Distribution Model for Teaching

Journal of Statistics Education, 2020
Informally testing the fit of a probability distribution model is educationally a desirable precursor to formal methods for senior secondary school students. Limited research on how to teach such an informal approach, lack of statistically sound criteria
Anna Fergusson, Maxine Pfannkuch
doaj   +1 more source

Goodness of Fit Approach for Testing Exponential Better than Used in Convex for Life Distributions [PDF]

The Egyptian Statistical Journal, 2004
Test statistic is derived for testing exponentiality against exponential better (worse) than used in convex EBUC (EWUC). Selected critical values are tabulated for sample size n=5(1)25(5) 50.
M. Hendi, N. AL-Ghufily
doaj   +1 more source

Goodness-of-fit tests for correlated data [PDF]

Biometrika, 1975
Biometrika, 62 (3)
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Goodness of fit by Neyman-Pearson testing

SciPost Physics
The 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
doaj   +1 more source