Results 1 to 10 of about 1,402,559 (308)
Incremental Attribute Reduction Method Based on Chi-Square Statistics and Information Entropy
IEEE Access, 2020 Attributes in datasets are usually not equally significant. Some attributes are unnecessary or redundant. Attribute reduction is an important research issue of rough set theory, which can find minimum subsets of attributes with the same classification ...
Na Su +3 more
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Chi-square test for imprecise data in consistency table
Frontiers in Applied Mathematics and Statistics, 2023 In this paper, we propose the introduction of a neutrosophic chi-square-test for consistency, incorporating neutrosophic statistics. Our aim is to modify the existing chi-square -test for consistency in order to analyze imprecise data. We present a novel
Muhammad Aslam, Florentin Smarandache
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Monotonicity of Chi-square Test Statistics [PDF]
SSRN Electronic Journal, 2003 This paper establishes monotonicity of the chi-square test statistic. As the more efficient parameter estimator is plugged into the test statistic, the degrees of freedom of the resulting chi-square test statistic monotonically increase.
Ryu, Keunkwan
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Pearson-Fisher Chi-Square Statistic Revisited [PDF]
Information, 2011 The Chi-Square test (χ2 test) is a family of tests based on a series of assumptions and is frequently used in the statistical analysis of experimental data.
Radu E. Sestraş +4 more
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Chi-square test under indeterminacy: an application using pulse count data
BMC Medical Research Methodology, 2021 Background The data obtained from the counting process is known as the count data. In practice, the counting can be done at the same time or the time of the count is not the same.
Muhammad Aslam
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Selecting estimated models using chi-square statistics [PDF]
Annals of Economics and Statistics, 1991 Cet article propose des tests de choix entre modèles estimés à partir de statistiques de Pearson d'ajustement. Ces statistiques peuvent être construites à partir d'estimateurs asymptotiquement normaux, ce qui permet une grande flexibilité dans l'utilisation de nos tests.
Vuong, Q.H., Wang, W.
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On the Mistaken Use of the Chi-Square Test in Benford’s Law
Stats, 2021 Benford’s Law predicts that the first significant digit on the leftmost side of numbers in real-life data is distributed between all possible 1 to 9 digits approximately as in LOG(1 + 1/digit), so that low digits occur much more frequently than high ...
Alex Ely Kossovsky
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Robust Kalman Filtering Based on Chi-square Increment and Its Application
Remote Sensing, 2020 In Global Navigation Satellite System (GNSS) positioning, gross errors seriously limit the validity of Kalman filtering and make the final positioning solutions untrustworthy.
Bo Li +7 more
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Monotonicity of Chi-square Test Statistics [PDF]
Monotonicity of Chi-square Test StatisticsThis paper establishes monotonicity of the chi-square test statistic. As the more efficient parameter estimator is plugged into the test statistic, the degrees of freedom of the resulting chi-square test statistic monotonically increase.
Keunkwan Ryu
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Bounds for the chi-square approximation of the power divergence family of statistics [PDF]
Journal of Applied Probability, 2021 It is well known that each statistic in the family of power divergence statistics, across n trials and r classifications with index parameter $\lambda\in\mathbb{R}$ (the Pearson, likelihood ratio, and Freeman–Tukey statistics correspond to $\lambda=1 ...
Robert E. Gaunt
semanticscholar +1 more source