Results 11 to 20 of about 579,746 (284)
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
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A Multi-Aspect Permutation Test for Goodness-of-Fit Problems
Stats, 2022 Parametric techniques commonly rely on specific distributional assumptions. It is therefore fundamental to preliminarily identify the eventual violations of such assumptions. Therefore, appropriate testing procedures are required for this purpose to deal
Rosa Arboretti +5 more
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Tuning goodness-of-fit tests† [PDF]
Monthly Notices of the Royal Astronomical Society, 2019 10 pages, 11 ...
A Arrasmith, B Follin, E Anderes, L Knox
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KSD Aggregated Goodness-Of-Fit Test
Advances in Neural Information Processing Systems 35, 2022 We investigate properties of goodness-of-fit tests based on the Kernel Stein Discrepancy (KSD). We introduce a strategy to construct a test, called KSDAgg, which aggregates multiple tests with different kernels. KSDAgg avoids splitting the data to perform kernel selection (which leads to a loss in test power), and rather maximises the test power over a
Schrab, Antonin +2 more
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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 +2 more
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A Simple Goodness-of-Fit Test for Continuous Conditional Distributions
Ratio Mathematica, 2020 This paper presents a pragmatic specification test for conditional continuous distributions with uncensored data. We employ Monte Carlo (MC) experiments and the 2011 Medical Expenditure Panel Survey data to examine coverage and power to discern ...
Peter J. Veazie, Zhiqiu Ye
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A note on goodness of fit test using moments
Statistica, 2007 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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Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2015 In hydrological statistics, the traditional assessment of goodness of fit test is interested in the testing precision to the sample generated from supposed PDF.
Xiankui Zeng, Dong Wang, Jichun Wu
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Goodness of Fit Test of an Autocorrelated Time Series Cubic Smoothing Spline Model
Journal of Nigerian Society of Physical Sciences, 2021 We investigated the finite properties as well as the goodness of fit test for the cubic smoothing spline selection methods like the Generalized Maximum Likelihood (GML), Generalized Cross-Validation (GCV) and Mallow CP criterion (MCP) estimators for time-
Samuel Olorunfemi Adams +2 more
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Multinomial Goodness-Of-Fit Tests
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1984 SUMMARY This article investigates the family {I λ;λ ϵ ℝ} of power divergence statistics for testing the fit of observed frequencies {Xi; i = 1, …, k} to expected frequencies {Ei; i = 1, …, k}. From the definition 2nIλ=2λ(λ+1)∑i=1kXi{(XiEi)λ−1};λ∈ℝ it can easily be seen that Pearson's X 2 (λ = 1), the log likelihood ratio
Cressie, Noel A, Read, Timothy
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