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  • Linear Regression Analysis 2e

    Linear Regression Analysis 2e by Seber, GAF;

    Series: Wiley Series in Probability and Statistics;

      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 156.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        79 432 Ft (75 649 Ft + 5% VAT)
      • Discount 10% (cc. 7 943 Ft off)
      • Discounted price 71 488 Ft (68 084 Ft + 5% VAT)

    79 432 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2nd Edition
    • Publisher Wiley?Blackwell
    • Date of Publication 25 February 2003

    • ISBN 9780471415404
    • Binding Hardback
    • No. of pages592 pages
    • Size 235x156x35 mm
    • Weight 936 g
    • Language English
    • 0

    Categories

    Short description:

    Concise, mathematically clear, and comprehensive treatment of the subject.

    * Expanded coverage of diagnostics and methods of model fitting.

    * Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight?line regression and simple analysis of variance models.

    More

    Long description:

    Concise, mathematically clear, and comprehensive treatment of the subject.

    * Expanded coverage of diagnostics and methods of model fitting.

    * Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight?line regression and simple analysis of variance models.

    More