Overview
- Contributors are prominent, distinguished, and well-respected researchers in the field of mathematical and statistical modeling
- Real-world applications to safety, reliability, life-testing, financial modeling, quality control, general inference, economics, engineering, as well as neural networks and computational techniques
- Good reference work for practitioners, researchers, and graduate students in statistics, applied mathematics, engineering, economics, and modeling
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Industry and Technology (SIT)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (28 chapters)
-
Front Matter
-
Distribution Theory and Applications
-
Front Matter
-
-
Probability and Statistics
-
Front Matter
-
-
Engineering Modeling
-
Front Matter
-
Keywords
About this book
Enrique Castillo is a leading figure in several mathematical 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.
Applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques are presented. The book is divided into nine major sections, which include distribution theory and applications, probability and statistics, order statistics and analysis, engineering modeling, extreme value theory, business and economics applications, statistical methods, applied mathematics, and 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.
Reviews
From the reviews:
“This book is a Festschrift in honor of Professor Enrique Castillo. … The book’s coverage is quite broad, as are Professor Castillo’s interests. The book should be a good addition to any library.” (David E. Booth, Technometrics, Vol. 51 (3), August, 2009)
Bibliographic Information
Book Title: Advances in Mathematical and Statistical Modeling
Editors: Roberto Minguez, Jose-Maria Sarabia, N. Balakrishnan, Barry C. Arnold
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-0-8176-4626-4
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Birkhäuser Boston 2008
Hardcover ISBN: 978-0-8176-4625-7Published: 02 September 2008
eBook ISBN: 978-0-8176-4626-4Published: 09 April 2009
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: XXXIV, 368
Number of Illustrations: 56 b/w illustrations
Topics: Mathematical Modeling and Industrial Mathematics, Probability Theory and Stochastic Processes, Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Computational Science and Engineering