Trends in Mathematical, Information and Data Sciences | A Tribute to Leandro Pardo | ISBN 9783031041396

Trends in Mathematical, Information and Data Sciences

A Tribute to Leandro Pardo

herausgegeben von Narayanaswamy Balakrishnan, María Ángeles Gil, Nirian Martín, Domingo Morales und María del Carmen Pardo
Mitwirkende
Herausgegeben vonNarayanaswamy Balakrishnan
Herausgegeben vonMaría Ángeles Gil
Herausgegeben vonNirian Martín
Herausgegeben vonDomingo Morales
Herausgegeben vonMaría del Carmen Pardo
Buchcover Trends in Mathematical, Information and Data Sciences  | EAN 9783031041396 | ISBN 3-031-04139-9 | ISBN 978-3-031-04139-6

Trends in Mathematical, Information and Data Sciences

A Tribute to Leandro Pardo

herausgegeben von Narayanaswamy Balakrishnan, María Ángeles Gil, Nirian Martín, Domingo Morales und María del Carmen Pardo
Mitwirkende
Herausgegeben vonNarayanaswamy Balakrishnan
Herausgegeben vonMaría Ángeles Gil
Herausgegeben vonNirian Martín
Herausgegeben vonDomingo Morales
Herausgegeben vonMaría del Carmen Pardo

This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pardo that can be summarized as Information Theory with Applications to Statistical Inference. This book is a tribute to Professor Leandro Pardo, who has chaired the Department of Statistics and OR of the Complutense University in Madrid, and he has been also President of the Spanish Society of Statistics and Operations Research.  In this way, the contributions have been structured into three parts, which often overlap to a greater or lesser extent, namely

  • Trends in Mathematical Sciences (Part I)
  • Trends in Information Sciences (Part II)
  • Trends in Data Sciences (Part III)

The contributions gathered in this book have offered either new developments from a theoretical and/or computational and/or applied point of view, or reviews of recent literature of outstanding developments. They have been applied through nice examples in climatology, chemistry, economics, engineering, geology, health sciences, physics, pandemics, and socioeconomic indicators.

Consequently, the intended audience of this book is mainly statisticians, mathematicians, computer scientists, and so on, but users of these disciplines as well as experts in the involved applications may certainly find this book a very interesting read.