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

Generalized Linear Models with Random Effects (Unified Analysis via H-likelihood, Second Edition)

List Price: $189.99
SKU:
9781498720618
Quantity:
Minimum Purchase
25 unit(s)
  • 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:
    Youngjo Lee
    Format:
    Hardcover
    Pages:
    466
    Publisher:
    CRC Press (August 4, 2017)
    Imprint:
    Chapman and Hall/CRC
    Language:
    English
    ISBN-13:
    9781498720618
    Weight:
    27oz
    Dimensions:
    6" x 9"
    File:
    TAYLORFRANCIS-TayFran_260917043054953-20260917.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $189.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Case Pack:
    10
    As low as:
    $180.49
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
  • Overview

    This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book.