null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Linear Model and Extensions

List Price: $91.99
SKU:
9781032825502
Quantity:
Minimum Purchase
25 unit(s)
Expected release date is Sep 10th 2026
  • 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
FULL DETAILS
  • 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:
    Peng Ding
    Format:
    Paperback
    Pages:
    440
    Publisher:
    CRC Press (September 10, 2026)
    Imprint:
    Chapman and Hall/CRC
    Release Date:
    September 10, 2026
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781032825502
    Weight:
    16oz
    Dimensions:
    7" x 10"
    File:
    TAYLORFRANCIS-TayFran_260421042544646-20260421.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $91.99
    Country of Origin:
    United States
    Pub Discount:
    30
    As low as:
    $87.39
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
  • Overview

    This textbook, based on the author’s course on linear modeling at UC Berkeley taught over the past ten years, only requires basic knowledge of linear algebra, probability theory, and statistical inference. It assumes minimal knowledge of linear modeling, and reviews basic linear algebra, probability, and statistics in the appendix.