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The mathematics of the uncertaina tr...
~
Gil, Eduardo.
The mathematics of the uncertaina tribute to Pedro Gil /
Record Type:
Electronic resources : Monograph/item
Title/Author:
The mathematics of the uncertainedited by Eduardo Gil ... [et al.].
Reminder of title:
a tribute to Pedro Gil /
other author:
Gil, Eduardo.
Published:
Cham :Springer International Publishing :2018.
Description:
xxv, 917 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Mathematical statistics.
Online resource:
https://doi.org/10.1007/978-3-319-73848-2
ISBN:
9783319738482$q(electronic bk.)
The mathematics of the uncertaina tribute to Pedro Gil /
The mathematics of the uncertain
a tribute to Pedro Gil /[electronic resource] :edited by Eduardo Gil ... [et al.]. - Cham :Springer International Publishing :2018. - xxv, 917 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1422198-4182 ;. - Studies in systems, decision and control ;v.3..
This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO) In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and data, it is necessary to consider formal ideas and develop scientific approaches and techniques for dealing with uncertainty. Mathematics is crucial in this endeavor, as this book demonstrates. As Professor Pedro Gil highlighted twenty years ago, there are several well-known mathematical branches for this purpose, including Mathematics of chance (Probability and Statistics), Mathematics of communication (Information Theory), and Mathematics of imprecision (Fuzzy Sets Theory and others) These branches often intertwine, since different sources of uncertainty can coexist, and they are not exhaustive. While most of the papers presented here address the three aforementioned fields, some hail from other Mathematical disciplines such as Operations Research; others, in turn, put the spotlight on real-world studies and applications. The intended audience of this book is mainly statisticians, mathematicians and computer scientists, but practitioners in these areas will certainly also find the book a very interesting read.
ISBN: 9783319738482$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
The mathematics of the uncertaina tribute to Pedro Gil /
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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.
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EB QA276 .M426 2018 2018
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https://doi.org/10.1007/978-3-319-73848-2
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