On the rate convergence to normality of estimates of regression coefficient for associated random fields
The rate of convergence in the central limit theorem is studied for the least square estimates of regression coefficients of associated random fields. The upper optimal estimate is obtained. Cite as: T. L. Koval’, “On the rate of convergence to normality of estimates of regression coefficient for a...
Збережено в:
| Дата: | 2020 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Pidstryhach Institute for Applied Problems of Mechanics and Mathematics of NAS of Ukraine
2020
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| Теми: | |
| Онлайн доступ: | http://journals.iapmm.lviv.ua/ojs/index.php/APMM/article/view/apmm2020.18.62-66 |
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| Назва журналу: | Prykladni Problemy Mekhaniky i Matematyky |
Репозитарії
Prykladni Problemy Mekhaniky i Matematyky| Резюме: | The rate of convergence in the central limit theorem is studied for the least square estimates of regression coefficients of associated random fields. The upper optimal estimate is obtained. Cite as: T. L. Koval’, “On the rate of convergence to normality of estimates of regression coefficient for associated random fields,” Prykl. Probl. Mekh. Mat., Issue 18, 62–66 (2020), https://doi.org/10.15407/apmm2020.18.62-66 |
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