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The mathematics of the uncertaina tr...

Gil, Eduardo.

The mathematics of the uncertaina tribute to Pedro Gil /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The mathematics of the uncertainedited by Eduardo Gil ... [et al.].
其他題名:	a tribute to Pedro Gil /
其他作者:	Gil, Eduardo.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xxv, 917 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statistics.
電子資源:	https://doi.org/10.1007/978-3-319-73848-2
ISBN:	9783319738482$q(electronic bk.)

The mathematics of the uncertaina tribute to Pedro Gil /
The mathematics of the uncertaina tribute to Pedro Gil /[electronic resource] :edited by Eduardo Gil ... [et al.]. - Cham :Springer International Publishing :2018. - xxv, 917 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1422198-4182 ;. - Studies in systems, decision and control ;v.3..

This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO) In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and data, it is necessary to consider formal ideas and develop scientific approaches and techniques for dealing with uncertainty. Mathematics is crucial in this endeavor, as this book demonstrates. As Professor Pedro Gil highlighted twenty years ago, there are several well-known mathematical branches for this purpose, including Mathematics of chance (Probability and Statistics), Mathematics of communication (Information Theory), and Mathematics of imprecision (Fuzzy Sets Theory and others) These branches often intertwine, since different sources of uncertainty can coexist, and they are not exhaustive. While most of the papers presented here address the three aforementioned fields, some hail from other Mathematical disciplines such as Operations Research; others, in turn, put the spotlight on real-world studies and applications. The intended audience of this book is mainly statisticians, mathematicians and computer scientists, but practitioners in these areas will certainly also find the book a very interesting read.

ISBN: 9783319738482$q(electronic bk.)

Standard No.: 10.1007/978-3-319-73848-2doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276 / .M37 2018

Dewey Class. No.: 519.5

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