Elements of Computational Statistics (Hardcover)

James E. Gentle

ISBN 10: 0387954899 / ISBN 13: 9780387954899

Edité par Springer-Verlag New York Inc., New York, NY, 2002

A propos de cet article

Hardcover. In recent years developments in statistics have to a great extent gone hand in hand with developments in computing. Indeed, many of the recent advances in statistics have been dependent on advances in computer science and techn- ogy. Many of the currently interesting statistical methods are computationally intensive, eitherbecausetheyrequireverylargenumbersofnumericalcompu- tions or because they depend on visualization of many projections of the data. The class of statistical methods characterized by computational intensity and the supporting theory for such methods constitute a discipline called com- tational statistics. (Here, I am following Wegman, 1988, and distinguishing computationalstatisticsfromstatisticalcomputing, whichwetaketomean computational methods, including numerical analysis, for statisticians.) The computationally-intensive methods of modern statistics rely heavily on the developments in statistical computing and numerical analysis generally. Computational statistics shares two hallmarks with other computational sciences, such as computational physics, computational biology, and so on. One is a characteristic of the methodology: it is computationally intensive. The other is the nature of the tools of discovery. Tools of the scienti?c method have generally been logical deduction (theory) and observation (experimentation). The computer, used to explore large numbers of scenarios, constitutes a new type of tool. Use of the computer to simulate alternatives and to present the research worker with information about these alternatives is a characteristic of thecomputationalsciences. Insomewaysthisusageisakintoexperimentation. The observations, however, are generated from an assumed model, and those simulated data are used toevaluate and study the model. This book describes techniques used in computational statistics and considers some of the areas of application, such as density estimation and model building, in which computationally-intensive methods are useful. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de réf. du vendeur 9780387954899

Détails bibliographiques

• Titre: Elements of Computational Statistics (Hardcover)
• Éditeur: Springer-Verlag New York Inc., New York, NY
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 0387954899
• ISBN à 13 chiffres: 9780387954899
• Reliure: Hardcover
• Édition: Edition originale
• État de l'article: new

A propos de ce titre

Synopsis

This book describes techniques used in computational statistics and considers some of the areas of application, such as density estimation and model building, in which computationally-intensive methods are useful.