Advances in Mathematical and Statistical Modeling

  • Roberto Minguez
  • Jose-Maria Sarabia
  • N. Balakrishnan
  • Barry C. Arnold

Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages 1-30
  2. Distribution Theory and Applications

    1. Front Matter
      Pages 1-1
    2. Dimitris Karlis, Evdokia Xekalaki
      Pages 21-33
    3. José María Sarabia, María Sarabia, Marta Pascual
      Pages 35-43
    4. Jean-Philippe Boucher, Michel Denuit, Montserrat Guillén
      Pages 45-59
  3. Probability and Statistics

    1. Front Matter
      Pages 1-1
    2. S. James Press, Key-II Shin, Lee Sang Eun
      Pages 75-85
  4. Order Statistics and Analysis

    1. Front Matter
      Pages 1-1
    2. Jorge Navarro, Pedro J. Hernández
      Pages 89-100
    3. Eric Beutner, Udo Kamps
      Pages 101-106
  5. Engineering Modeling

    1. Front Matter
      Pages 1-1
    2. Roberto MíDnguez, Antonio J. Conejo, Ali S. Hadi
      Pages 141-156
    3. Carmen Castillo, Cristina Solares
      Pages 157-168
  6. Extreme Value Theory

    1. Front Matter
      Pages 1-1
    2. Cláudia Neves, Isabel Fraga Alves
      Pages 181-194
    3. M. Ivette Gomes, Dinis Pestana, Lígia Rodrigues, Clara Viseu
      Pages 195-207

About this book

Introduction

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques.

The book is divided into nine major sections:

* Distribution Theory and Applications

* Probability and Statistics

* Order Statistics and Analysis

* Engineering Modeling

* Extreme Value Theory

* Business and Economics Applications

* Statistical Methods

* Applied Mathematics

* Discrete Distributions

This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work.

Keywords

Estimator Factor analysis Generalized linear model Measure Optimization Methods Pretest Random variable Regression Time series artificial intelligence best fit numerical methods optimization statistics

Editors and affiliations

  • Roberto Minguez
  • Jose-Maria Sarabia
  • N. Balakrishnan
  • Barry C. Arnold

There are no affiliations available

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-8176-4626-4
  • Copyright Information Birkhäuser Boston 2008
  • Publisher Name Birkhäuser Boston
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-8176-4625-7
  • Online ISBN 978-0-8176-4626-4
  • About this book