Least Square Estimation for Regression Parameters Under Lost Association
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.
KeywordsRandom Vector Marginal Distribution Regression Parameter Asymptotic Normality Standard Estimator
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