Modern Mathematical Tools and Techniques in Capturing Complexity

  • Leandro Pardo
  • Narayanaswamy Balakrishnan
  • María Ángeles Gil

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
  2. Advanced Methods in Statistics

    1. Front Matter
      Pages 1-1
    2. Wenceslao González-Manteiga, Rosa M. Crujeiras
      Pages 3-16
    3. Pilar Ibarrola, Ana Pérez-Palomares
      Pages 17-27
    4. María Macarena Muñoz-Conde, Joaquín Muñoz-García, María Dolores Jiménez-Gamero
      Pages 29-37
    5. Miquel Salicrú, Juan J. Barreiro, Sergi Civit-Vives
      Pages 39-54
  3. Applied Mathematics

    1. Front Matter
      Pages 55-55
    2. Alfonso Casal, Jesús Ildefonso Díaz, Michael Stich, José Manuel Vegas
      Pages 57-76
    3. Jeffrey K. Lawson, M. Eugenia Rosado-María
      Pages 77-89
    4. Sonia L. Rueda
      Pages 91-103
  4. Distribution Theory and Applications

    1. Front Matter
      Pages 105-105
    2. Narayanaswamy Balakrishnan, Maochao Xu
      Pages 107-118
    3. Miguel A. Gómez-Villegas, Eusebio Gómez-Sánchez-Manzano, Paloma Maín, Hilario Navarro
      Pages 119-129
    4. Keshav Jagannathan, Arjun K. Gupta, Truc T. Nguyen
      Pages 131-139
    5. Kostas Zografos
      Pages 141-153
  5. Divergence Measures and Statistical Applications

    1. Front Matter
      Pages 155-155
    2. María Luisa Menéndez, Leandro Pardo
      Pages 191-205
    3. María Carmen Pardo, Julio A. Pardo
      Pages 207-220
  6. Modelling in Engineering Problems

  7. Theory of Games

    1. Front Matter
      Pages 273-273
    2. José María Alonso-Meijide, María Gloria Fiestras-Janeiro, Ignacio García-Jurado
      Pages 275-285
  8. Model-Based Methods for Survey Sampling

    1. Front Matter
      Pages 301-301
    2. María Dolores Esteban, Montserrat Herrador, Tomáš Hobza, Domingo Morales
      Pages 303-314
    3. Betsabé Pérez, Daniel Peña, Isabel Molina
      Pages 329-339
    4. Ismael Sánchez-Borrego, María del Mar Rueda, Juan F. Muñoz
      Pages 341-353
  9. Probability Theory

    1. Front Matter
      Pages 355-355
    2. José Miguel Angulo, María Dolores Ruiz-Medina
      Pages 357-378
    3. Raúl Gouet, F. Javier López, Gerardo Sanz
      Pages 391-406
    4. Pedro Miranda, Susana Martínez
      Pages 407-419
  10. Robust and Soft Methods in Statistics

    1. Front Matter
      Pages 421-421
    2. Biman Chakraborty, Sahadeb Sarkar, Ayanendranath Basu
      Pages 423-436
    3. Norberto Corral, María Ángeles Gil, Pedro Gil
      Pages 453-468
  11. Modelling in Biological and Medical Problems

    1. Front Matter
      Pages 469-469
    2. Aldana González-Montoro, Ricardo Cao, Nelson Espinosa, Jorge Mariño, Javier Cudeiro
      Pages 471-484
  12. Back Matter

About this book


Real-life problems are often quite complicated and, for centuries, Mathematics has provided the necessary tools and ideas to formulate these problems mathematically and then help in solving them either exactly or approximately.

This book aims to gather a collection of papers dealing with several different problems arising from many disciplines and some modern mathematical approaches to handle them. In this respect, the book offers a wide overview on many of the current trends in Mathematics as valuable formal techniques in capturing and exploiting the complexity involved in real-world situations.

Several researchers, colleagues, friends and students of Professor María Luisa Menéndez have contributed to this volume to pay tribute to her and to recognize the diverse contributions she had made to the fields of Mathematics and Statistics and to the profession in general. She had a sweet and strong personality, and instilled great values and work ethics in her students through her dedication to teaching and research. Even though the academic community lost her prematurely, she would continue to provide inspiration to many students and researchers worldwide through her published work.        


Capturing Complexity Complexity Mathematical Tools and Techniques

Editors and affiliations

  • Leandro Pardo
    • 1
  • Narayanaswamy Balakrishnan
    • 2
  • María Ángeles Gil
    • 3
  1. 1.Departamento de Estadística e I. O., Facultad de MatemáticasUniversidad Complutense de MadridSpain
  2. 2.Department of Mathematics and StatisticsMcMaster University HamiltonCanada
  3. 3.Departamento de Estadística e I. O. y, D.M.Universidad de OviedoOviedoSpain

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-20852-2
  • Online ISBN 978-3-642-20853-9
  • Series Print ISSN 1860-0832
  • Series Online ISSN 1860-0840
  • Buy this book on publisher's site