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Symbolic Data Analysis
Lynne Billard
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Description for Symbolic Data Analysis
Hardcover. The first book to present a unified account of symbolic data analysis methods in a consistent statistical framework, Symbolic Data Analysis features a substantial number of examples from a range of application areas, including health, the social sciences, economics, and computer science. Series: Wiley Series in Computational Statistics. Num Pages: 330 pages, illustrations. BIC Classification: PB; PS; UF. Category: (P) Professional & Vocational. Dimension: 233 x 162 x 23. Weight in Grams: 598.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
330
Condition
New
Series
Wiley Series in Computational Statistics
Number of Pages
328
Place of Publication
New York, United States
ISBN
9780470090169
SKU
V9780470090169
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About 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 ... Read more
Reviews for Symbolic Data Analysis
“Primarily aimed at statisticians and Data analysts, SDA is also ideal for scientists…” (Zentralblatt MATH, 2007)