New Advances in Statistics and Data Science (ICSA Book Series in Statistics)
- 出版商: Springer
- 出版日期: 2018-01-26
- 售價: $3,500
- 貴賓價: 9.5 折 $3,325
- 語言: 英文
- 頁數: 348
- 裝訂: Hardcover
- ISBN: 3319694154
- ISBN-13: 9783319694153
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相關分類:
機率統計學 Probability-and-statistics、Data Science
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商品描述
This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.
商品描述(中文翻譯)
本書收錄了2016年6月12日至15日在亞特蘭大凱悅酒店舉行的第25屆ICSA應用統計學研討會上的演講內容。此次研討會吸引了來自世界各地的700多名從事學術、政府和工業領域的統計學家和數據科學家。本次研討會的主題是“大數據的挑戰和統計學的應用”,以應對大數據時代的來臨。研討會提供了學習的機會,從舊的研究思路中獲得靈感,並開發新的思路,促進數據科學領域的進一步研究合作。受邀貢獻涵蓋了與大數據分析密切相關的豐富主題,反映了統計學、商業統計學和生物統計學中的最新進展和主要挑戰。隨後,六位編輯選擇了19個高質量的演講,並邀請演講者為本書準備完整的章節,展示了統計學和數據科學的新方法、新理論以及統計學、數據科學和跨學科領域的案例應用。本書涵蓋的主題具有時效性,對數據科學具有重大影響,確定了未來研究的重要方向,促進了大數據科學中的先進統計方法,並促進了跨學科和理論與實踐之間的未來合作。