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

Probability Theory

List Price: $140.99
SKU:
9781041538929
Quantity:
Minimum Purchase
25 unit(s)
Expected release date is Jan 29th 2027
  • 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:
    A. M. Arthurs
    Format:
    Hardcover
    Pages:
    88
    Publisher:
    CRC Press (January 29, 2027)
    Imprint:
    Routledge
    Release Date:
    January 29, 2027
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781041538929
    Weight:
    18oz
    Dimensions:
    5.0625" x 7.8125"
    File:
    TAYLORFRANCIS-TayFran_261031052540113-20261031.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $140.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Routledge Revivals
    As low as:
    $133.94
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
  • Overview

    First published in 1965, Probability Theory introduces the mathematical foundations of probability, covering sample spaces, key distributions—Binomial, Poisson, and Normal—and the law of large numbers. Concluding with Markov chains, it remains vital for statistics and mathematics students.