صورة الغلاف المحلية
صورة الغلاف المحلية
عرض عادي

Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025) / edited by Ivan Krumov Todorov, Desislava Stoilova, Rabiul Islam.

المساهم (المساهمين):نوع المادة : نصنصالسلاسل:Advances in Economics, Business and Management Research Series ; v.373الناشر:Dordrecht : Atlantis Press (Zeger Karssen), 2026تاريخ حقوق النشر: ©2026الطبعات:1st edوصف:1 online resource (583 pages)نوع المحتوى:
  • text
نوع الوسائط:
  • computer
نوع الناقل:
  • online resource
تدمك:
  • 9789464639926
الموضوع:النوع/الشكل:تنسيقات مادية إضافية:Print version:: Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
المحتويات:
Introduction.
Organization.
Peer-Review Statements.
Selected papers on mathematical statistics, economic analysis, digital transformation, financial modelling, investment analysis, machine learning, artificial intelligence, energy economics, risk management, banking, logistics, climate finance, urban development, and public policy.
ملخص:Contains peer-reviewed papers from the 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025). The volume covers a broad range of topics at the intersection of statistics, economics, finance, data science, and technology, including machine learning applications, digital economy development, financial risk assessment, energy markets, consumer behaviour, investment analysis, climate finance, banking systems, logistics, and economic policy. It demonstrates the growing integration of quantitative methods and data-driven approaches in economic and business research.
قوائم هذه المادة تظهر في: Electronic Books | الكتب الإلكترونية
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رابط URL حالة تاريخ الإستحقاق الباركود حجوزات مادة
مصدر رقمي مصدر رقمي UAE Federation Library | مكتبة اتحاد الإمارات Online Copy | نسخة إلكترونية رابط إلى المورد لا يعار
إجمالي الحجوزات: 0

Introduction.

Organization.

Peer-Review Statements.

Selected papers on mathematical statistics, economic analysis, digital transformation, financial modelling, investment analysis, machine learning, artificial intelligence, energy economics, risk management, banking, logistics, climate finance, urban development, and public policy.

Contains peer-reviewed papers from the 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025). The volume covers a broad range of topics at the intersection of statistics, economics, finance, data science, and technology, including machine learning applications, digital economy development, financial risk assessment, energy markets, consumer behaviour, investment analysis, climate finance, banking systems, logistics, and economic policy. It demonstrates the growing integration of quantitative methods and data-driven approaches in economic and business research.

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