Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ahmad Younso"'
Publikováno v:
Arab Journal of Mathematical Sciences, Vol 26, Iss 1/2, Pp 211-225 (2020)
We consider the kernel-based classifier proposed by Younso (2017). This nonparametric classifier allows for the classification of missing spatially dependent data. The weak consistency of the classifier has been studied by Younso (2017). The purpose
Externí odkaz:
https://doaj.org/article/18a8c96692e74e01815dc866d6996d06
Publikováno v:
مجلة جامعة تشرين للبحوث والدراسات العلمية، سلسلة العلوم الأساسية, Vol 43, Iss 6 (2022)
قمنا في هذه الورقة بدراسة مسألة تقدّير دالّة الانحدار باستخدام مقدّر الجوارات الـ k الأكثر قرباً اللاوسيطي في حالة الارتباط. تم توسيع نتا
Externí odkaz:
https://doaj.org/article/f3e358a3a0ae4afeb2436d77e37a9ef1
Publikováno v:
مجلة جامعة تشرين للبحوث والدراسات العلمية، سلسلة العلوم الأساسية, Vol 43, Iss 3 (2021)
يعد التصنيف الإحصائي من المواضيع المتقدمة في الإحصاء بطرائقه المختلفة ومن هذه الطرق طريقة النواة, المدرج التكراري و الجوارات الـk الأكثر
Externí odkaz:
https://doaj.org/article/5255234a37b04651a52b1adfe7b6345d
Publikováno v:
مجلة جامعة تشرين للبحوث والدراسات العلمية، سلسلة العلوم الأساسية, Vol 40, Iss 4 (2018)
Linear regression methods impose strong constraints on regression models, especially on the error terms where it assumes that it is independent and follows normal distribution, and this may not be satisfied in many studies, leading to bias that canno
Externí odkaz:
https://doaj.org/article/5f36c0b8626a47e4a086b4bd9cba0431
Autor:
Ahmad Younso
Publikováno v:
Comptes Rendus. Mathématique. 361:237-242
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d8eeb1620c213492301928bf8eb2fb
https://doi.org/10.5802/crmath.402
https://doi.org/10.5802/crmath.402
Autor:
Ahmad Younso
Publikováno v:
Metrika. 86:343-372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e66f71939dd4f71e3ac1f1aa799a1118
https://doi.org/10.1007/s00184-022-00879-w
https://doi.org/10.1007/s00184-022-00879-w
Autor:
Ahmad Younso
Publikováno v:
Journal of Nonparametric Statistics. 34:465-490
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb09509a46aa0310cc7cd4ef27879a7f
https://doi.org/10.1080/10485252.2022.2043309
https://doi.org/10.1080/10485252.2022.2043309
Publikováno v:
Communications in Mathematics and Statistics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3567b2bde99ec7b166bc6860403fd312
https://doi.org/10.1007/s40304-021-00261-8
https://doi.org/10.1007/s40304-021-00261-8
Publikováno v:
المجلة العربية للعلوم و نشر الأبحاث. 8:116-102
In this work we will establish almost sure convergence for k-nearest neighbor estimate of the regression function under some mixing conditions. Our results will extend some previous results in the i.i.d case to the dependent case. In addition, we wil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f2d0a315dfdffaf42f089114d777caf
https://doi.org/10.26389/ajsrp.m190821
https://doi.org/10.26389/ajsrp.m190821
Publikováno v:
Arab Journal of Mathematical Sciences. 26:211-225
We consider the kernel-based classifier proposed by Younso (2017). This nonparametric classifier allows for the classification of missing spatially dependent data. The weak consistency of the classifier has been studied by Younso (2017). The purpose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47324843eb74fbdf5ee951c882e10a38
https://doi.org/10.1016/j.ajmsc.2019.10.004
https://doi.org/10.1016/j.ajmsc.2019.10.004