株式会社極東書店トップ商品一覧Statistics for Innovation II : SIS 2025, Short Papers, Contributed Sessions 1.

商品詳細

Statistics for Innovation II

Statistics for Innovation II : SIS 2025, Short Papers, Contributed Sessions 1.

・ISBN 978-3-031-96305-6 paper EUR 219.99

¥58,802.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者di Bella, Enrico / Gioia, Vincenzo / Lagazio, Corrado / Zaccarin, Susanna (eds.),
シリーズ(Italian Statistical Society Series on Advances in Statistics)
出版社(Springer International Publishing AG, SZ)
出版年月2026
ページ数504 pp.
言語ENG
ニュース番号<M25-26005>

解説

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society's international conference on "Statistics for Innovation", SIS 2025, held in Genoa, Italy, June 16-18, 2025. It is the second of four volumes, featuring the first part of the contributions presented in the Contributed Sessions.

Providing a comprehensive overview of innovations in modern statistical methods and applications, the volumes address a large number of topics of current interest, contributing to a rapid dissemination of quantitative methods for data analysis across the various fields of scientific research and social life. The volumes underpin the role of statistics and data science in fostering innovation in numerous fields, including business, industry, finance, technology, environment, health and medicine, official statistics, public policy, welfare, social issues and sustainable development.

One of the aims of the Italian Statistical Society (SIS) is to promote scientific activities for the development of statistical sciences. Together with the biennial international Scientific Meeting, the intermediate international statistical conferences on a particular topic of interest represent the Society's most important events which bring together national and international researchers and professionals to exchange ideas and discuss recent advances and developments in theoretical and applied statistics.