Logo - springer
Slogan - springer

Statistics - Computational Statistics | Evolutionary Statistical Procedures - An Evolutionary Computation Approach to Statistical Procedures

Evolutionary Statistical Procedures

An Evolutionary Computation Approach to Statistical Procedures Designs and Applications

Baragona, Roberto, Battaglia, Francesco, Poli, Irene

2011, XII, 276 p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$99.00

(net) price for USA

ISBN 978-3-642-16218-3

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$129.00

(net) price for USA

ISBN 978-3-642-16217-6

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$129.00

(net) price for USA

ISBN 978-3-642-26654-6

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Reference for statistical researchers at an advanced graduate level or beyond
  • Deals with topics like time series data analysis, cluster analysis, design of experiments, outliers with practical aspects
  • Outlines benefits from using evolutionary methods for each application area
  • Applications of evolutionary computation in statistics

This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work for statistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer science.

Content Level » Research

Keywords » Data Analysis - Design of Experiments - Evolutionary Computation - Metaheuristics - Optimization Algorithms

Related subjects » Biomedical Sciences - Computational Science & Engineering - Computational Statistics - Image Processing - Social Sciences

Table of contents / Preface 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Statistics and Computing / Statistics Programs.