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Trends in Mathematical, Information and Data Sciences

A Tribute to Leandro Pardo

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  • © 2023

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Editors:
  1. Narayanaswamy Balakrishnan

    1. Department of Mathematics and Statistics, McMaster University, Hamilton, Canada

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  2. María Ángeles Gil

    1. Department of Statistics and OR and TM, University of Oviedo, Oviedo, Spain

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  3. Nirian Martín

    1. Department of Financial and Actuarial Economics & Statistics, Complutense University of Madrid, Madrid, Spain

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  4. Domingo Morales

    1. Department of Statistics, Mathematics and Informatics, Miguel Hernández University of Elche, Elche, Spain

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  5. María del Carmen Pardo

    1. Department of Statistics and Operational Research, Complutense University of Madrid, Madrid, Spain

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  • Is a tribute to Professor Leandro Pardo who has been President of the Spanish Society of Statistics and OR
  • Focuses on synergies between mathematics, information, and data sciences
  • Written by respected experts in the field

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 445)

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Table of contents (38 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Trends in Mathematical Sciences

    1. Front Matter

      Pages 1-1
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    2. Using Taxes to Manage Energy Resources Related to Stock Pollutants: Resource Cartel versus Importers

      • Emilio Cerdá, Xiral López-Otero
      Pages 3-12

    3. A New Shapley Value-Based Rule for Distributing Delay Costs in Stochastic Projects

      • Julián Costa, Ignacio García-Jurado, Juan Carlos Gonçalves-Dosantos
      Pages 13-20

    4. Variogram Model Selection

      • Alfonso García-Pérez
      Pages 21-27

    5. On First Passage Times in Discrete Skeletons and Uniformized Versions of a Continuous-Time Markov Chain

      • Antonio Gómez-Corral, María Jesús Lopez-Herrero, María Teresa Rodríguez-Bernal
      Pages 29-37

    6. A Numerical Approximation of a Two-Dimensional Atherosclerosis Model

      • Arturo Hidalgo, Lourdes Tello
      Pages 39-50

    7. Limit Results for \(L^p\) Functionals of Weighted CUSUM Processes

      • Lajos Horváth, Gregory Rice
      Pages 51-62

    8. Generalized Models for Binary and Ordinal Responses

      • Maria Kateri
      Pages 63-71

    9. Approximations of \(\delta \)-Record Probabilities in i.i.d. and Trend Models

      • Miguel Lafuente, David Ejea, Raúl Gouet, F. Javier López, Gerardo Sanz
      Pages 73-81

    10. The Relative Strength Index (RSI) to Monitor GDP Variations. Comparing Regions or Countries from a New Perspective

      • Carlos Maté
      Pages 83-91

    11. Escape Probabilities from an Interval for Compound Poisson Processes with Drift

      • Javier Villarroel, Juan A. Vega
      Pages 93-105

    12. A Note on the Notion of Informative Composite Density

      • Konstantinos Zografos
      Pages 107-118

  3. Trends in Information Sciences

    1. Front Matter

      Pages 119-119
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    2. Equivalence Tests for Multinomial Data Based on \(\phi \)-Divergences

      • María Virtudes Alba-Fernández, María Dolores Jiménez-Gamero
      Pages 121-129

    3. Minimum Rényi Pseudodistance Estimators for Logistic Regression Models

      • Juana M. Alonso, Aida Calviño, Susana Muñoz
      Pages 131-145

    4. Infinite–Dimensional Divergence Information Analysis

      • José Miguel Angulo, María Dolores Ruiz-Medina
      Pages 147-157

    5. A Model Selection Criterion for Count Models Based on a Divergence Between Probability Generating Functions

      • Apostolos Batsidis, Polychronis Economou
      Pages 159-168

    6. On the Choice of the Optimal Tuning Parameter in Robust One-Shot Device Testing Analysis

      • Elena Castilla, Pedro J. Chocano
      Pages 169-180

    7. Optimal Spatial Prediction for Non-negative Spatial Processes Using a Phi-divergence Loss Function

      • Noel Cressie, Alan R. Pearse, David Gunawan
      Pages 181-197
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Mathematics and Statistics, McMaster University, Hamilton, Canada

    Narayanaswamy Balakrishnan

  • Department of Statistics and OR and TM, University of Oviedo, Oviedo, Spain

    María Ángeles Gil

  • Department of Financial and Actuarial Economics & Statistics, Complutense University of Madrid, Madrid, Spain

    Nirian Martín

  • Department of Statistics, Mathematics and Informatics, Miguel Hernández University of Elche, Elche, Spain

    Domingo Morales

  • Department of Statistics and Operational Research, Complutense University of Madrid, Madrid, Spain

    María del Carmen Pardo

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