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Probability, Statistics, and Stochastic Processes for Engineers and Scientists

List Price: $94.99
SKU:
9780367500863
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25 unit(s)
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  • Product Details

    Author:
    Aliakbar Montazer Haghighi, Indika Wickramasinghe, Emmanuel A. Appiah
    Format:
    Paperback
    Pages:
    634
    Publisher:
    CRC Press (July 1, 2022)
    Language:
    English
    ISBN-13:
    9780367500863
    Weight:
    41.625oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260411045344499-20260411.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $94.99
    Series:
    Engineering Mathematics and Operations Research
    Case Pack:
    1
    As low as:
    $90.24
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    CRC Press
    Audience:
    College/higher education
  • Overview

    2020 Taylor & Francis Award Winner for Outstanding New Textbook!

    Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option in this field that combines these areas in one book, balances both theory and practical applications, and also keeps the practitioners in mind.

    Features

    • Includes numerous examples using current technologies with applications in various fields of study
    • Offers many practical applications of probability in queueing models, all of which are related to the appropriate stochastic processes (continuous time such as waiting time, and fuzzy and discrete time like the classic Gambler’s Ruin Problem)
    • Presents different current topics like probability distributions used in real-world applications of statistics such as climate control and pollution
    • Different types of computer software such as MATLAB®, Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis
    • Covers reliability and its application in network queues