Results 11 to 20 of about 291,613 (253)
Contributions to Risk Assessment with Edgeworth–Sargan Density Expansions (I): Stability Testing
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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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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The Chi-square test of independence [PDF]
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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Arthropods as loss and solution sources in the fruit production on Annona crassiflora Mart. (Annonaceae) trees [PDF]
The 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
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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Testing Multivariate Normality Based on t-Representative Points
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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A Case-Control Study of the Relationship Between Genetic Polymorphism and Cretinism in Xinjiang
Jia Huang,1,2,* Haiyan Wu,2,* Guiqiang Zhao,3 Yan Ma,1 Yunping An,4 Li Sun,5 Fuye Li,1 Shengling Wang2 1Department of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830054, People’s Republic of China; 2Division of Endemic Disease ...
Huang J +7 more
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Testing Multivariate Normality Based on F-Representative Points
The multivariate normal is a common assumption in many statistical models and methodologies for high-dimensional data analysis. The exploration of approaches to testing multivariate normality never stops.
Sirao Wang +3 more
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Network intrusion detection using hybrid machine learning methods
Network intrusion detection is a relevant cybersecurity research field. The growing number of intrusions requires more sophisticated methods to protect computer networks.
Karina Čiurlienė +1 more
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Use of Sensory Analysis of Beer in Marketing
When developing new food products, or when trying to improve their existing competitive position in the market it is necessary to determine how consumers perceive their quality. That is the purpose of so-called consumer evaluation of product quality, one
Pavel Čejka, Jana Olšovská
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