Results 11 to 20 of about 7,611,642 (299)
Central Asian Journal of Medical Hypotheses and EthicsCHI-SQUARED ...
F. Habibzadeh
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Contributions to Risk Assessment with Edgeworth–Sargan Density Expansions (I): Stability Testing
Mathematics, 2022 This paper analytically derives a stability test for the probability distribution of a random variable that follows the Edgeworth–Sargan density, also called Gram–Charlier.
Ignacio Mauleón
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Acta Natura et Scientia, 2020 The aim of this study was to determine the preferences of students attending Mersin University's Çiftlikköy and Yenişehir campuses for seafood consumption preference and to what extent these preferences are related to demographic characteristics such as
Musavver Alageyik +2 more
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Chi-squared test for the relationship between age groups and visual status of patients.
, 2023 Chi-squared test for the relationship between age groups and visual status of patients.
Frederick Afum Asare (12008835) +4 more
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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
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Chi-squared test for the relationship between type of ocular trauma and visual status of patients.
, 2023 Chi-squared test for the relationship between type of ocular trauma and visual status of patients.
Frederick Afum Asare (12008835) +4 more
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Arthropods as loss and solution sources in the fruit production on Annona crassiflora Mart. (Annonaceae) trees [PDF]
Brazilian Journal of BiologyThe Annona crassiflora tree stands are essential for several communities that survive by collecting its fruits, while also helping to protect the Brazilian Cerrado. Additionally, A.
Germano Leão Demolin-Leite
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A multigroup extension to piecewise path analysis
Ecosphere, 2021 Path analysis allows one to test the consistency of data to hypothesized causal relationships between variables. Often, interest lies in how the hypothesized dependencies differ between groups.
Jacob C. Douma, Bill Shipley
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The Chi-square test of independence [PDF]
Biochemia Medica, 2013 The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data.
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Testing Multivariate Normality Based on t-Representative Points
Axioms, 2022 Testing multivariate normality is an ever-lasting interest in the goodness-of-fit area since the classical Pearson’s chi-squared test. Among the numerous approaches in the construction of tests for multivariate normality, normal characterization is one ...
Jiajuan Liang, Ping He, Jun Yang
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