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Goodness of fit for the Waring distribution
The Waring distribution is an important two-parameter discrete distribution, commonly used in fields such as ecology, linguistics, and information science, where heavy tails are often observed. In this paper, we propose a new goodness-of-fit test for the
Yanlin Tang +3 more
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Wiggles and Curves: The Analysis of Ordinal Patterns
Almost all social science data are analysed with variants of the General Linear Model (GLM): regression analyses, analyses of variance, factor analyses, path analyses and the like.
Warren Thorngate, Chunyun Ma
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BACKGROUND:Many methods of spatial smoothing have been developed, for both point data as well as areal data. In Bayesian spatial models, this is achieved by purposefully designed prior(s) or smoothing functions which smooth estimates towards a local or ...
Earl W Duncan, Kerrie L Mengersen
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A note on goodness of fit test using moments
The purpose of this article is to introduce a general moment-based approach to derive formal goodness of fit tests of a parametric family. We show that, in general, an approximate normal test or a chi-squared test can be derived by exploring the moment ...
Alex Papadopoulos, Gang Li
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A Goodness-of-Fit Test Based on Fuzzy Random Variables
During the last decades, several methods have been proposed for Kolmogorov−Smirnov one-sample test based on fuzzy random variables to describe the impression of classical random variables. However, such techniques do not discuss the modeling of imprecise
Gholamreza Hesamian +2 more
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Measuring the Quality of Multivariate Statistical Models
Assessing the quality of a statistical model is very important, since it is crucial for the utility of the modelling process’ outcome. There are many different ways of measuring statistical models quality.
Michał Trzęsiok
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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
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Goodness of Fit: An Axiomatic Approach [PDF]
An axiomatic approach is used to develop a one-parameter family of measures of divergence between distributions. These measures can be used to perform goodness-of-fit tests with good statistical properties. Asymptotic theory shows that the test statistics have well-defined limiting distributions which are, however, analytically intractable.
Frank A. Cowell +2 more
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The Information Geometry of Sparse Goodness-of-Fit Testing
This paper takes an information-geometric approach to the challenging issue of goodness-of-fit testing in the high dimensional, low sample size context where—potentially—boundary effects dominate. The main contributions of this paper are threefold: first,
Paul Marriott +3 more
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Tuning goodness-of-fit tests† [PDF]
10 pages, 11 ...
A Arrasmith, B Follin, E Anderes, L Knox
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