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Smoothing Methods in Statistics
Jeffrey S. Simonoff
€ 150.47
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Description for Smoothing Methods in Statistics
Paperback. Series: Springer Series in Statistics. Num Pages: 352 pages, 7 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 18. Weight in Grams: 539.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
352
Condition
New
Series
Springer Series in Statistics
Number of Pages
340
Place of Publication
New York, NY, United States
ISBN
9781461284727
SKU
V9781461284727
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Smoothing Methods in Statistics
"...an excellent reference to the field and has no rival in terms of accessibility, coverage, and utility." (Jnl. of the Am. Statistical Association) "...an excellent overview of smoothing methods and concepts, presenting material in an intuitive manner with many interesting graphics." (Technometrics)