Isbn: 9780243093885 - on the Estimation of Location Parameters in the Multivariate One Sample and Two Sample Problems (classic Reprint) (3 results)

ISBN: 
Refine with Advanced Search

Refine your search

  • Books (3)

  • New (3)

to

Custom price range (£)

to

  • Language: English

    Published by Forgotten Books, 2019

    0243093888 / 9780243093885

    • Softcover

    Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

    5-star seller
    Contact seller

    Condition: New

    £ 21.23

     Free Shipping 
    Ships within U.S.A.

    Quantity: 15 available

    PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by Forgotten Books, 2019

    0243093888 / 9780243093885

    • Softcover

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

    5-star seller
    Contact seller

    Condition: New

    £ 20.34

    £ 3.29 shipping 
    Ships from United Kingdom to U.S.A.

    Quantity: 15 available

    PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by Forgotten Books, 2018

    0243093888 / 9780243093885

    • Softcover
    • Print on Demand

    Seller: Forgotten Books, London, United KingdomForgotten Books

    5-star seller
    Contact seller

    Condition: New

    £ 13.53

     Free Shipping 
    Ships from United Kingdom to U.S.A.

    Quantity: Over 20 available

    Paperback. Condition: New. Print on Demand. This book introduces readers to the field of multivariate statistics by exploring the research of the author as they endeavor to develop non-parametric methods for robust estimation in multivariate location parameters. The author examines the problem of estimating the vectors of location parameters in multivariate one and two-sample problems and presents a new approach based on the multivariate rank-order statistics explored in their previous work on testing problems. Via theorems and proofs, the distribution of these estimators is shown to be symmetric with respect to the parameters being estimated and is invariant to translation, robust, and asymptotically normal, making this an invaluable resource for researchers. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.…