Least Square Estimation for Regression Parameters Under Lost Association

Vasudevan Mangalam ()
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Vasudevan Mangalam: Universiti Brunei Darussalam, Department of Mathematics

Chapter Chapter 10 in Advances in Directional and Linear Statistics, 2011, pp 143-154 from Springer

Abstract: Abstract 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.

Keywords: Random Vector; Marginal Distribution; Regression Parameter; Asymptotic Normality; Standard Estimator (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2628-9_10

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DOI: 10.1007/978-3-7908-2628-9_10

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