Отрывок: But goodness of fit is not so important for EFA, the loadings are more interesting. For this reason a new criterion for bandwidth selection is proposed. It is based on testing the difference between global and local factor loadings. A statistical inference for comparing global and local factor loadings is based on the information about mean values of loadings and their standard deviation. We need replications of sample data to get this information. One way to get it is to take a sa...
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Тimofeeva, А. | - |
dc.contributor.author | Tesselkina, K. | - |
dc.date.accessioned | 2017-05-15 12:44:41 | - |
dc.date.available | 2017-05-15 12:44:41 | - |
dc.date.issued | 2017 | - |
dc.identifier | Dspace\SGAU\20170515\63761 | ru |
dc.identifier.citation | Тimofeeva А. Geographically weighted factor analysis: optimal bandwidth selection / А. Тimofeeva, K. Tesselkina // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С. 663-669. | ru |
dc.identifier.uri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Geographically-weighted-factor-analysis-optimal-bandwidth-selection-63761 | - |
dc.description.abstract | Geographically weighted models are widely used for analyzing the spatial data. There is a problem of extracting a potentially lower number of unobserved variables while a set of correlated variables is observed. The factor analysis is commonly used to overcome this problem. A bandwidth selection is a main difficulty during the identification a spatial heterogeneity of factor loadings. In the paper an original bandwidth selection criterion is proposed. It is based on the testing the difference between factor loadings of global and geographically weighted model. Using the simulated data it is shown that the criterion proposed allows to define accurately the appropriate number of nearest neighbors. | ru |
dc.description.sponsorship | This research has been supported by the Ministry of Education and Science of the Russian Federation as part of the state task (project No 2.7996.2017/БЧ). | ru |
dc.language.iso | en | ru |
dc.publisher | Новая техника | ru |
dc.subject | spatial data | ru |
dc.subject | geographically weighted factor analysis | ru |
dc.subject | bandwidth selection | ru |
dc.subject | factor loadings | ru |
dc.subject | nearest neighbors | ru |
dc.title | Geographically weighted factor analysis: optimal bandwidth selection | ru |
dc.type | Article | ru |
dc.textpart | But goodness of fit is not so important for EFA, the loadings are more interesting. For this reason a new criterion for bandwidth selection is proposed. It is based on testing the difference between global and local factor loadings. A statistical inference for comparing global and local factor loadings is based on the information about mean values of loadings and their standard deviation. We need replications of sample data to get this information. One way to get it is to take a sa... | - |
Располагается в коллекциях: | Информационные технологии и нанотехнологии |
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paper 124_663-669.pdf | Основная статья | 634.59 kB | Adobe PDF | Просмотреть/Открыть |
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