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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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Correlation Goodness-of-Fit Test of Mixture of Two Weibull Distributions [PDF]
The Egyptian Statistical Journal, 2006 In this paper, we use the moment of order statistics for testing mixture of two Weibull distrimutions (MTWD) by using correlation-type goodness-of fit test.
H. Aly, N. Alsadat, K. Sultan
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Composite Goodness-of-fit Tests with Kernels
J. Mach. Learn. Res., 2021 Model misspecification can create significant challenges for the implementation of probabilistic models, and this has led to development of a range of robust methods which directly account for this issue. However, whether these more involved methods are required will depend on whether the model is really misspecified, and there is a lack of generally ...
Oscar Key +3 more
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A Correlation Type Goodness of Fit Test for the Burr Distribution [PDF]
The Egyptian Statistical Journal, 1996 The Burr family of distributions is widely used in life testing studies. The two common survival or failure-time distributions, the Weibull and the Exponential, are both special cases or limiting cases of the Burr type XII (see Lewis (1981), denoted by ...
Abd-Allah Abd-Elfattah
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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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Correlation Coefficient as Goodness-of-Fit Test for the Logistic Distribution [PDF]
The Egyptian Statistical Journal, 1994 Goodness-of-fit tests are used to determine if the data at hand satisfy the distributional assumptions of the statistical model to be used. One of goodness-of-fit tests to use is the correlation coefficient test.
Ramses Sadek
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Distribution free goodness-of-fit tests for linear processes [PDF]
, 2004 This article proposes a class of goodness-of-fit tests for the autocorrelation function of a time series process, including those exhibiting long-range dependence.
Velasco Gómez, Carlos +8 more
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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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The sensitivity of chi-squared goodness-of-fit tests to the partitioning of data [PDF]
, 2005 In this paper we conduct a Monte Carlo study to determine the power of Pearson’s overall goodness-of-fit test as well as the “Pearson analog” tests (see Anderson (1994)) to detect rejections due to shifts in variance, skewness and kurtosis, as we vary
Smith, Jeremy +5 more
core +1 more source