- Home
- Mathematics
- Probability & Statistics
- Subset Selection in Regression
Subset Selection in Regression
List Price:
$89.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Alan Miller
Format:
Paperback
Pages:
256
Publisher:
CRC Press (September 5, 2019)
Language:
English
ISBN-13:
9780367396220
Weight:
16oz
Dimensions:
6" x 9"
File:
TAYLORFRANCIS-TayFran_260121055423912-20260121.xml
Folder:
TAYLORFRANCIS
List Price:
$89.99
Series:
Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Case Pack:
1
As low as:
$85.49
Publisher Identifier:
P-CRC
Discount Code:
H
Country of Origin:
United States
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Overview
Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has thoroughly updated each chapter, incorporated new material on recent developments, and included more examples and references.
New in the Second Edition:
A separate chapter on Bayesian methods
Complete revision of the chapter on estimation
A major example from the field of near infrared spectroscopy
More emphasis on cross-validation
Greater focus on bootstrapping
Stochastic algorithms for finding good subsets from large numbers of predictors when an exhaustive search is not feasible
Software available on the Internet for implementing many of the algorithms presented
More examples
Subset Selection in Regression, Second Edition remains dedicated to the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model that fits only slightly better than others. The presentation is clear, concise, and belongs on the shelf of anyone researching, using, or teaching subset selecting techniques.
New in the Second Edition:
Subset Selection in Regression, Second Edition remains dedicated to the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model that fits only slightly better than others. The presentation is clear, concise, and belongs on the shelf of anyone researching, using, or teaching subset selecting techniques.
