Least Square Estimation for Regression Parameters Under Lost Association

  • Vasudevan Mangalam


A method is developed to deal with estimating the regression coefficients when the association among the paired data is partially or completely lost. Asymptotic properties of the estimators are discussed.


Random Vector Marginal Distribution Regression Parameter Asymptotic Normality Standard Estimator 
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  1. 1.
    Babu GJ, Bai ZD, Choi KP, Mangalam V (2009) Asymptotics of the average of functions of order statistics. J Bernoulli Soc (In press)Google Scholar
  2. 2.
    Bhattacharyya GK, Johnson RA (1977) Statistical concepts and methods, Wiley, New YorkGoogle Scholar
  3. 3.
    Billingsley P (1995) Probability and measure, Wiley, New YorkGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Department of MathematicsUniversiti Brunei DarussalamGadongBrunei Darussalam

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