Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo

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 has been President of the Spanish Society of Statistics and Operations Research. It involves ideas/results from mathematical, information, and data sciences, in connection with statistical inference. The contributions are structured into three parts and have been applied through examples in climatology, chemistry, economics, engineering, geology, health sciences, physics, pandemics, and socioeconomic indicators. The intended audience is mainly statisticians, mathematicians, computer scientists, and experts in the involved applications.

Format: Hardback
Length: 456 pages
Publication date: 28 June 2022
Publisher: Springer International Publishing AG

This comprehensive book delves into the intersection of mathematical, information, and data sciences, drawing upon the profound research interests of Professor Leandro Pardo. It can be succinctly summarized as Information Theory with Applications to Statistical Inference. This book serves as a tribute to Professor Pardo, who has held the prestigious position of Chair of the Department of Statistics and OR at the Complutense University in Madrid, as well as serving as the President of the Spanish Society of Statistics and Operations Research.

The contributions in this book are organized into three distinct parts, each of which overlaps to varying degrees. The first part, Trends in Mathematical Sciences, explores innovative developments in mathematics. The second part, Trends in Information Sciences, delves into the latest advancements in information theory and its applications. The third part, Trends in Data Sciences, focuses on the emerging trends in data analysis and its practical implications.

Within these sections, the contributions offer a rich tapestry of theoretical insights, computational methodologies, and applied applications. They encompass a wide range of fields, including climatology, chemistry, economics, engineering, geology, health sciences, physics, pandemics, and socioeconomic indicators. Through captivating examples and case studies, the authors demonstrate the practical relevance and effectiveness of the discussed concepts and methodologies.

The intended audience of this book extends far beyond statisticians, mathematicians, and computer scientists. It is a valuable resource for practitioners and experts in various applications, as well as for those who seek to expand their knowledge in these interdisciplinary domains. With its comprehensive coverage, insightful discussions, and practical applications, this book provides a deep understanding of the latest developments and applications in mathematical, information, and data sciences.

Weight: 875g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031041365
Edition number: 1st ed. 2023