Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Item added to bagSorry, there was a problem getting your bag informationItem cannot be purchased with the existing contents of your bagItem unavailable online
✕

was added to your bag.

Please try again.

Sorry, this item cannot be purchased in the same transaction as the existing items in your bag.

Please complete the purchase of the items currently in your bag and then add this item in a separate transaction or visit Shopping Help.

Sorry, this product is not currently available to buy online. Please visit Shopping Help.

View bag and checkout
Remove item
✕

Are you sure you want to remove from your bag?

Recommended product

Popular links

Popular links

Numerical Methods of Statistics

All titles
Numerical Methods of Statistics

Numerical Methods of Statistics

2nd Edition
John Monahan
No date available
Paperback
9781107665934

Looking for an inspection copy?

This title is not currently available for inspection. However, if you are interested in the title for your course we can consider offering an inspection copy. To register your interest please contact asiamktg@cambridge.org providing details of the course you are teaching.

Price unavailable
Paperback
    Description

    Product details

    No date available
    Paperback
    9781107665934
    0 pages
    0kg
    Temporarily unavailable - available from TBC

    Often bought together

    Numerical Methods of Statistics
    Numerical Methods of Statistics

    : Paperback

    Numerical Methods of Statistics
    Numerical Methods of Statistics

    : Hardback

    Acta Numerica 2022
    Acta Numerica 2022

    : 31

    : Hardback

    Computational Bayesian Statistics
    Computational Bayesian Statistics

    : Paperback

    An Introduction

    Often bought together

    cambridge core banner

    Related Journals

    Theory and Practice of Logic Programming
    Theory and Practice of Logic Programming

    : Journal

    Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to all of them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, nonmonotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.

    The Review of Symbolic Logic
    The Review of Symbolic Logic

    : Journal

    The Review of Symbolic Logic is designed to cultivate research on theborders of logic, philosophy, and the sciences, and to supportsubstantive interactions between these disciplines. The journalwelcomes submissions in any of the following areas, broadly construed: - The general study of logical systems and their semantics,including non-classical logics and algebraic logic; - Philosophical logic and formal epistemology, including interactions with decision theory and game theory; - The history, philosophy, and methodology of logic and mathematics, including the history of philosophy of logic and mathematics; - Applications of logic to the sciences, such as computer science, cognitive science, and linguistics; and logical results addressing foundational issues in the sciences. The Review welcomes submissions in all these areas. (For informationon how to submit papers, see Guidelines below.) The Review beganpublication in June 2008.

    Acta Numerica
    Acta Numerica

    : Journal

    Acta Numerica is the top-cited journal for the last two years in MathSciNet. Its annual collection of review articles includes survey papers by leading researchers in numerical analysis and scientific computing. The papers present overviews of recent advances and provide state-of-the-art techniques and analysis. Covering the breadth of numerical analysis, articles are written in a style accessible to researchers at all levels and can serve as advanced teaching aids. Broad subject areas for inclusion are computational methods in linear algebra, optimization, ordinary and partial differential equations, approximation theory, stochastic analysis and nonlinear dynamical systems, as well as the application of computational techniques in science and engineering and the mathematical theory underlying numerical methods.

    Related Journals

    Also by this Author

    Numerical Methods of Statistics
    Numerical Methods of Statistics

    John Monahan

    :Hardback

    $142.00 USD
    Numerical Methods of Statistics
    Numerical Methods of Statistics

    John Monahan

    :Adobe eBook Reader

    $73.00 USD
    Buy eBook
    Numerical Methods of Statistics
    Numerical Methods of Statistics

    John Monahan

    :Paperback

    $73.00 USD

    Also by this Author

    Contents
    Courses
    Resources
    Additional Information
    About the authors
      Author
    • John Monahan
    Accessibility

    Browse by related subject

     
    ✕

    Sorry, this item cannot be purchased in the same transaction as the existing items in your cart.

    Please complete the purchase of the items currently in your cart and then add this item in a separate transaction or contact

    Customer Services