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

Statistics in Research and Development

List Price: $89.99
SKU:
9780367450472
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:
    R. Caulcutt
    Format:
    Paperback
    Pages:
    488
    Publisher:
    CRC Press (December 2, 2019)
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9780367450472
    Weight:
    16oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260122055303581-20260122.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $89.99
    Country of Origin:
    United States
    Series:
    Chapman & Hall/CRC Texts in Statistical Science
    Case Pack:
    1
    As low as:
    $85.49
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Imprint:
    Chapman and Hall/CRC
  • Overview

    This book covers experimental design and the more advanced techniques of data analysis which can be used to assess performance, to compare methods and to control quality. It is useful to anyone concerned with the development or the management of complex processes in any industry.