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DC Field | Value | Language |
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dc.contributor.author | Haidar Raed Talib , Ahmed Razaq Abd, Ayad Habeeb Shimal | - |
dc.date.accessioned | 2023-10-18T07:09:09Z | - |
dc.date.available | 2023-10-18T07:09:09Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | https://dx.doi.org/10.24237/djps.15.03.491C | en_US |
dc.identifier.issn | 2222-8373 | - |
dc.identifier.uri | http://148.72.244.84:8080/xmlui/handle/xmlui/4620 | - |
dc.description.abstract | Discriminatory analysis is one of the most widely used statistical methods in the field of data analysis and classification, which can be used as linear models in the field of data classification. One of the basic conditions that must be available in the qualitative analysis is that the homogeneity of the matrix of variance and the common covariance and the test of the normal distribution of the data. We also note that the analysis of distinction is outlier of the same; Including the test (Kolmogorov Smirnov) and this test exists in the statistical program SPSS. The important objective of using the differential analysis method is to test the significance of differences between groups for independent variables as well as to differentiate the independent variables that share as much differences as possible between the dependent variable groups. | en_US |
dc.description.sponsorship | https://djps.uodiyala.edu.iq/ | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Diyala | en_US |
dc.subject | Keywords: Discriminatory analysis, Classification, Discriminate, Homogeneity of the matrix of variance–covariance, Discriminatory functions, Quadratic Discriminant Function, Linear discrimination function for two groups, Mixture Discriminant function. | en_US |
dc.title | Using Discriminatory Analysis to Determine the Factors Affected Eye | en_US |
dc.title.alternative | استعمال التحليل التمييزي لتحديد اهم العوامل التي تؤثر على امراض العين | en_US |
dc.type | Article | en_US |
Appears in Collections: | مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.) |
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8e-P1(491).pdf | 596.86 kB | Adobe PDF | View/Open |
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