Smoothing Methods in Statistics

Language: English

Published by Springer, Springer, 2011

1461284724 / 9781461284727

Series: Book 29 of 160 - Springer Series in Statistics

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - The existence of high speed, inexpensive computing has made it easy to look at data in ways that were once impossible. Where once a data analyst was forced to make restrictive assumptions before beginning, the power of the computer now allows great freedom in deciding where an analysis should go. One area that has benefited greatly from this new freedom is that of non parametric density, distribution, and regression function estimation, or what are generally called smoothing methods. Most people are familiar with some smoothing methods (such as the histogram) but are unlikely to know about more recent developments that could be useful to them. If a group of experts on statistical smoothing methods are put in a room, two things are likely to happen. First, they will agree that data analysts seriously underappreciate smoothing methods. Smoothing meth ods use computing power to give analysts the ability to highlight unusual structure very effectively, by taking advantage of people's abilities to draw conclusions from well-designed graphics. Data analysts should take advan tage of this, they will argue.

Seller Inventory # 9781461284727

Title
Smoothing Methods in Statistics
Author
Jeffrey S. Simonoff
Publisher
Springer, Springer
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461284724
ISBN 13
9781461284727
Item weight
540 grams
Dimensions
235x155x20 mm
Series
Book 29 of 160: Springer Series in Statistics

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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