Home » Symbolic Data Analysis
Product Image
Lynne Billard | Edwin Diday

Symbolic Data Analysis

★★★★★
★★★★★
€89.68
Title
A01=Edwin Diday
A01=Lynne Billard
advent
alternative
approach
Author_Edwin Diday
Author_Lynne Billard
become
Category=GPS
Category=PBT
computers
consequence
data
dataset
efficiently
eq_isMigrated=1
eq_nobargain
flexibility
knowledge
large
lists
methods
power
represented
required
resulting
routine
single
standard
statistical
summary
way

Product details

  • ISBN 9780470090169
  • Weight: 597g
  • Dimensions: 160 x 229mm
  • Publication Date: 01 Dec 2006
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
Delivery/Collection within 10-20 working days

Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock

10-20 Working Days: On Backorder

Will Deliver When Available: On Pre-Order or Reprinting

We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!

Description
With the advent of computers, very large datasets have become routine. Standard statistical methods don’t have the power or flexibility to analyse these efficiently, and extract the required knowledge. An alternative approach is to summarize a large dataset in such a way that the resulting summary dataset is of a manageable size and yet retains as much of the knowledge in the original dataset as possible. One consequence of this is that the data may no longer be formatted as single values, but be represented by lists, intervals, distributions, etc. The summarized data have their own internal structure, which must be taken into account in any analysis.

This text presents a unified account of symbolic data, how they arise, and how they are structured. The reader is introduced to symbolic analytic methods described in the consistent statistical framework required to carry out such a summary and subsequent analysis.

  • Presents a detailed overview of the methods and applications of symbolic data analysis.
  • Includes numerous real examples, taken from a variety of application areas, ranging from health and social sciences, to economics and computing.
  • Features exercises at the end of each chapter, enabling the reader to develop their understanding of the theory.
  • Provides a supplementary website featuring links to download the SODAS software developed exclusively for symbolic data analysis, data sets, and further material.

Primarily aimed at statisticians and data analysts, Symbolic Data Analysis is also ideal for scientists working on problems involving large volumes of data from a range of disciplines, including computer science, health and the social sciences. There is also much of use to graduate students of statistical data analysis courses.
About Edwin Diday | Lynne Billard

Lynne Billard is a multi award winning University Professor of Statistics at the University of Georgia, USA. Her areas of interest include epidemic theory, AIDS, time series, sequential analysis, and symbolic data. A former President of the American Statistical Association as well as the ENAR Regional President and International President of the International Biometric Society, Professor Billard has co-edited 6 books, published over150 papers and been actively involved in many statistical societies and national committees.

Edwin Diday is a Professor in Computer Science and Mathematics, at the Université Paris Dauphine, France. He is the author or editor of 14 previous books. He is also the founder of the symbolic data analysis field, and has led numerous international research teams in the area.