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

Theory of Statistical Inference

List Price: $63.99
SKU:
9780367502805
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:
    Anthony Almudevar
    Format:
    Paperback
    Pages:
    470
    Publisher:
    CRC Press (May 27, 2024)
    Language:
    English
    ISBN-13:
    9780367502805
    Dimensions:
    7" x 10"
    File:
    TAYLORFRANCIS-TayFran_260403050804507-20260403.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $63.99
    Country of Origin:
    United States
    Series:
    Chapman & Hall/CRC Texts in Statistical Science
    As low as:
    $60.79
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Weight:
    30.75oz
    Pub Discount:
    30
    Case Pack:
    1
    Imprint:
    Chapman and Hall/CRC
  • Overview

    The purpose of applying mathematical theory to the theory of statistical inference is to make it simpler and more elegant. Theory of Statistical Inference is concerned with the development of a type of optimization theory which can be used to inform the choice of statistical methodology.