Factor and regression modeling of the variable state devices in the system statistica; Bulletin of the Tomsk Polytechnic University; Vol. 311, № 5
| Parent link: | Bulletin of the Tomsk Polytechnic University/ Tomsk Polytechnic University (TPU).— , 2006-2007 Vol. 311, № 5.— 2007.— [P. 51-54] |
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| Автор: | |
| Резюме: | Заглавие с титульного листа Электронная версия печатной публикации For designing the discrete variable state devices the methods of statistical modeling, in particular, the factor and multi-variable regression analysis have been offered to use. It was shown that the statistical methods which were not used earlier for solving the given problem, allow revealing physical laws of the elements operation in the device that promotes creating the structure optimal from the point of view of supporting minimum phase shift at controlling transfer constant. Reveal and substantial interpretation of the factor loadings influencing various researched characteristics allow changing traditional methodology and simplifying significantly optimization of correction and regulation parameters in phase-invariance devices. The computer system Statistica 6.0 was used for modeling in the paper |
| Мова: | Англійська |
| Опубліковано: |
2007
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| Серія: | Control, computer engineeringand information science |
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| Онлайн доступ: | http://www.lib.tpu.ru/fulltext/v/Bulletin_TPU/2007/v311eng/i5/11.pdf |
| Формат: | Електронний ресурс Частина з книги |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=183075 |
| Фізичний опис: | 1 файл (638 Кб) |
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| Резюме: | Заглавие с титульного листа Электронная версия печатной публикации For designing the discrete variable state devices the methods of statistical modeling, in particular, the factor and multi-variable regression analysis have been offered to use. It was shown that the statistical methods which were not used earlier for solving the given problem, allow revealing physical laws of the elements operation in the device that promotes creating the structure optimal from the point of view of supporting minimum phase shift at controlling transfer constant. Reveal and substantial interpretation of the factor loadings influencing various researched characteristics allow changing traditional methodology and simplifying significantly optimization of correction and regulation parameters in phase-invariance devices. The computer system Statistica 6.0 was used for modeling in the paper |