Results 1 to 10 of about 1,005,670 (248)
A Modified FlowDroid Based on Chi-Square Test of Permissions [PDF]
Entropy, 2021 Android devices are currently widely used in many fields, such as automatic control, embedded systems, the Internet of Things and so on. At the same time, Android applications (apps) always use multiple permissions, and permissions can be abused by ...
Hongzhaoning Kang +4 more
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Pearson-Fisher Chi-Square Statistic Revisited
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 [PDF]
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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IEEE Communications Letters, 2013 A simple and novel asymptotic bound for the maximum error resulting from the use of the central limit theorem to approximate the distribution of chi square and noncentral chi square random variables is derived. The bound enables the quick calculation of the number of degrees of freedom required to ensure a given approximation error, and is ...
Colin Murphy, Donagh Horgan
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Focusing on structural features of a scenario: An activity on expected frequencies, deviations, and chi-square contributions [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 In this paper, I present a way to teach statistics by helping students reuse structural features of a problem to interpret those features. It consists of explaining concepts by presenting corresponding analogical examples following a given story ...
Chadillon-Farinacci, Véronique
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Jurnal Lebesgue, 2022 The research aims to know the data analysis with using simple correspondence analysis methods (simple correspondence analysis) then used to analyze the correlation between parental income, parental occupation, interests and talents of students to the ...
Ahmad Labib Al Jauzi
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Discrete Chi-square Method for Detecting Many Signals
The Open Journal of Astrophysics, 2020 Unambiguous detection of signals superimposed on unknown trends is difficult for unevenly spaced data. Here, we formulate the Discrete Chi-square Method (DCM) that can determine the best model for many signals superimposed on arbitrary polynomial trends.
Lauri Jetsu
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The Supremum of Chi-Square Processes [PDF]
Methodology and Computing in Applied Probability, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rabier, Charles-Elie, Genz, Alan
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Psychiatry and Behavioral Sciences, 2016 The Chi square (?2) test is used to examine whether distributions of categorical variables differ from one another. The Chi Square statistic compares the counts of categorical responses between two (or more) independent groups.
Selim Kılıc
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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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