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

An Introduction to Stochastic Processes

List Price: $24.95
SKU:
9780486837925
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:
    Edward P.C. Kao
    Series:
    Dover Books on Mathematics
    Format:
    Paperback
    Pages:
    448
    Publisher:
    Dover Publications (December 18, 2019)
    Language:
    English
    ISBN-13:
    9780486837925
    ISBN-10:
    0486837920
    Weight:
    21.04oz
    Dimensions:
    6" x 9"
    Case Pack:
    18
    File:
    Dover-Dover_05022026_P10034514_onix30_Complete-20260501.xml
    Folder:
    Dover
    List Price:
    $24.95
    As low as:
    $23.70
    Publisher Identifier:
    P-DOVER
    Discount Code:
    D
    Audience:
    General/trade
    Pub Discount:
    65
    Imprint:
    Dover Publications
  • Overview

    A vigorous response to the challenges of incorporating computer use into teaching and learning stochastic processes, this book takes an applications- and computer-oriented approach rather than the standard formal and mathematically rigorous approach. It is suitable for advanced undergraduates and beginning graduate students in operations research, management science, finance, engineering, statistics, computer science, and applied mathematics. A Solutions Manual is available to instructors upon request.