Isbn: 9780470090169 - symbolic data analysis: conceptual statistics and data mining (wiley series in computational statistics) (8 Ergebnisse)

321 S. Ill. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Wiley series in computational statistics. Sprache: Englisch. …

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. pp. 330 Illus.

Hardcover. Zustand: Brand New. 1st edition. 330 pages. 9.00x6.00x1.00 inches. In Stock.

Gebunden. Zustand: New. 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, e.

Zustand: New. 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. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - 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.…